Core Facilities

Palo Alto, CA

Machine Learning Scientist - Hsu & Konermann Lab

Postdoctoral Researcher, Jain Lab

Research Associate II, Gilbert Lab

Scientist, Cellular Monitoring, Horns Lab

Scientist, Delivery, Horns Lab

Scientist, In Vivo Therapeutic Discovery - Gilbert Lab

Core Laboratories

Faculty & Fellows

Operations

Lab Manager

Machine Learning Engineer

Machine Learning Research Scientist

Scientist, Single Cell Assay Development

Scientist, Virtual Cell Initiative - T Cell Screening

Senior Director, Cellular Models Technology Center

Senior Scientist, Bioinformatics

Senior Scientist, In Vivo Functional Genomics - Technology Development

Senior Scientist, Molecular Engineering

Senior Scientist, Stem Cell Glial Model Development

Technology Centers

No Department

&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;Arc scaled to nearly 100 people in its first year. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;We are seeking a Lab Manager to support research operations within the Technology Centers at the Arc Institute. By coordinating cross-functional operations and streamlining shared resources across Arc’s Technology Centers, this role will be key for enabling the execution of ambitious, highly technical research initiatives that combine cutting-edge genome engineering, advanced molecular tools, and complex cellular models to tackle challenging problems like Alzheimer&#39;s Disease. The ideal candidate will bring a combination of laboratory experience and operational expertise, with a proactive mindset focused on anticipating and removing obstacles that could slow down scientific progress, and a genuine enthusiasm for supporting breakthrough research by creating systems that allow scientists to work at their highest potential.&amp;nbsp;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About You&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;You thrive on creating organized, efficient lab spaces and take pride in maintaining well-documented inventory systems.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You enjoy working with diverse groups of people and helping facilitate the team to have smooth operations and enable great science.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You have hands-on experience with laboratory information management systems (preferably Benchling) and enjoy implementing systematic approaches to resource tracking.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You&#39;re proactive in identifying and addressing maintenance needs for shared equipment and spaces.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You have strong coordination skills and enjoy being the go-to person for laboratory operations.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You understand the importance of well-maintained shared resources in advancing scientific research.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You&#39;re detail-oriented in managing schedules, trainings, and maintenance calendars.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You have experience with (or interest in) automated laboratory systems and can assist with basic wet lab work when needed.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You excel at establishing and maintaining clear communication channels between different teams.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;In This Position You Will&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Serve as the primary point of contact between the various research groups within the Technology Centers and SciOps team, effectively communicating and implementing changes while providing context on group-specific needs.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Maintain accurate tracking of shared reagents and supplies and implement efficient storage and organization systems within our Benchling LIMS system.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Manage the ordering and restocking of common supplies, and coordinate with vendors for optimal pricing and delivery.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Create and maintain standard operating procedures for lab equipment and processes, ensuring consistency and quality across all operations.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Coordinate maintenance schedules for shared instruments, oversee tissue culture maintenance and cleaning procedures, and organize and optimize shared laboratory spaces.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Track equipment usage and maintenance records and coordinate with service providers for repairs and maintenance.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Manage and coordinate Tech Center recharge processes where applicable, ensuring accurate tracking and efficient implementation of recharge protocols.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Schedule and coordinate user training sessions on shared equipment, maintain training records and certifications.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Assist with running established automated assays and support basic wet lab work as needed.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Manage the onboarding and offboarding processes for researchers within the Technology centers, ensuring all important items and information are properly tracked and transferred.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Bachelor&#39;s degree in Life Sciences or related field; advanced degree preferred.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;3+ years of laboratory operations experience.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Proficiency with Benchling or similar laboratory management systems.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Strong organizational and inventory management skills.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Experience with laboratory equipment maintenance and troubleshooting.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Strong communication skills with ability to work effectively with researchers at all levels.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Demonstrated track record of improving operational efficiency in a laboratory setting.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Experience with automated laboratory systems and high-throughput systems.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Hands-on experience with common molecular biology techniques.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Background in implementing inventory management systems.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Experience with vendor management and procurement.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Background in developing and implementing training programs.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Experience with quality control systems and regulatory compliance.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Demonstrated success in improving laboratory efficiency and productivity.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;The base salary range for this position is&amp;nbsp;$84,450 - $104,250. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

Headquarters - 3181 Porter Drive, Palo Alto, CA

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc scaled to nearly 100 people in its first year. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years.&lt;/p&gt;
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&lt;div class=&quot;layoutArea&quot;&gt;
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&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are searching for an experienced and collaborative machine learning research engineer focused on building biological foundation models. This role will contribute to the development and application of Arc’s frontier DNA foundation model (&lt;a href=&quot;https://arcinstitute.org/news/blog/evo&quot;&gt;Evo&lt;/a&gt;), Arc’s Virtual Cell Initiative focusing on developing cell biological models capable of predicting the impact of perturbations and stimuli, and other projects in the context of Institute-wide machine learning efforts.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;- You are an innovative machine learning engineer with experience in training and evaluating large deep learning models.&lt;/p&gt;
&lt;p&gt;- You are excited about working closely with a multidisciplinary team of computational and experimental biologists at Arc to achieve breakthrough capabilities in biological prediction and design tasks.&lt;/p&gt;
&lt;p&gt;- You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.&lt;/p&gt;
&lt;p&gt;- You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;- Contribute to optimization and scaling of state-of-the-art foundation models developed in collaboration with other ML researchers and scientists at Arc with the goal of understanding and designing complex biological systems.&lt;/p&gt;
&lt;p&gt;- Engineer large-scale distributed model pretraining and pipelines for efficient model inference.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Enable robust systematic evaluation of trained models.&lt;/p&gt;
&lt;p&gt;- Stay up-to-date with the latest advancements in technologies for large-scale sequence modeling and alignment, and implement the most promising strategies to ensure the underlying models remain state-of-the-art.&lt;/p&gt;
&lt;p&gt;- Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.&lt;/p&gt;
&lt;p&gt;- Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).&lt;/p&gt;
&lt;p&gt;- Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.&lt;/p&gt;
&lt;p&gt;- Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Job Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;- B.S, MS or PhD in Computer Science, Machine Learning or a related field.&lt;/p&gt;
&lt;p&gt;- Minimum of 5-8+ years of relevant experience in machine learning research or ML engineering in an academic (e.g., PhD) or industry research lab.&lt;/p&gt;
&lt;p&gt;- Well-versed in machine learning frameworks such as PyTorch or JAX.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;- Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron-LM.&lt;/p&gt;
&lt;p&gt;- Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.&lt;/p&gt;
&lt;p&gt;- Ability to communicate and collaborate successfully with biologists and software/infrastructure engineers.&lt;/p&gt;
&lt;p&gt;- Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;br&gt;&lt;/strong&gt;The base salary range for this position is $163,950 to $234,550. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;
&lt;/div&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for an exceptional machine learning scientist specializing in developing large-scale models. The ideal candidate will play a key role in constructing advanced machine learning models to predict cell state response to perturbations as part of Arc’s Virtual Cell Initiative.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about machine learning with real-world applications and scientific impact.&lt;/li&gt;
&lt;li&gt;You want to develop cutting-edge, biology-inspired, multimodal machine learning models.&lt;/li&gt;
&lt;li&gt;You are excited about collaborating with a multidisciplinary team of experimental biologists and machine learning engineers at Arc.&lt;/li&gt;
&lt;li&gt;You are a strong communicator, capable of translating complex technical concepts to non-technical audiences across disciplines&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are a continuous learner&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build state-of-the-art AI models for understanding how cells respond to perturbation, in collaboration with other ML researchers, engineers and experimental scientists at Arc.&lt;/li&gt;
&lt;li&gt;Stay up-to-date with the latest advancements in machine learning for computational biology and ensure the models built at Arc remain state-of-the-art.&lt;/li&gt;
&lt;li&gt;Guide both the training of models as well as the large-scale generation of new experimental data to train those models, as part of Arc’s Virtual Cell Initiative.&lt;/li&gt;
&lt;li&gt;Collaborate with experimental biologists to ensure that the developed models are grounded in biologically impactful use cases.&lt;/li&gt;
&lt;li&gt;Publish findings through journal publications, white papers, and presentations.&lt;/li&gt;
&lt;li&gt;Commit to a collaborative and inclusive team environment, sharing expertise, mentoring others and fostering collaborations.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Job Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in Computer Science, Computational Biology, Bioinformatics, Machine Learning, or a related field.&lt;/li&gt;
&lt;li&gt;Minimum of 3 years of experience in building machine learning models for large datasets.&lt;/li&gt;
&lt;li&gt;Well-versed in machine learning frameworks such as PyTorch.&lt;/li&gt;
&lt;li&gt;Excellent communication skills, both written and verbal, with a strong track record of publications.&lt;/li&gt;
&lt;li&gt;Ability to communicate and collaborate successfully with domain experts and ML engineers.&lt;/li&gt;
&lt;li&gt;Motivated to work in a fast-paced, ambitious, multi-disciplinary, and highly collaborative research environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong research background with contributions to machine learning conferences (e.g., NeurIPS, ICLR, ICML) or interdisciplinary scientific journals (e.g., Nature, Nature Methods, Science).&lt;/li&gt;
&lt;li&gt;Experience working with biological datasets including single-cell genomics, genomic sequences, bioimaging&lt;/li&gt;
&lt;li&gt;Software engineering experience&lt;/li&gt;
&lt;li&gt;Demonstrated key contributions to the field of predictive modeling of cell states.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $163,950 to $202,550. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially, and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture: &lt;/strong&gt;We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people to date. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is seeking a Machine Learning Scientist to join the Hsu and Konermann Labs at the Arc Institute (also affiliated with UC Berkeley Bioengineering and Stanford Biochemistry). The successful candidate will play a crucial role in advancing the state-of-the-art in generative AI applied to biology, including our frontier DNA foundation model (Evo). You will focus on developing ML models for biological data, leveraging frontier approaches like hybrid masked-causal objectives, discrete diffusion, mechanistic interpretability techniques, and more. You will also apply your models for important computational biology applications in genome mining, molecular technology development, and invention of new therapeutic approaches.&lt;/p&gt;
&lt;p&gt;This role is a unique opportunity to advance state-of-the-art machine learning in genomics, contribute to high-impact scientific discoveries, and help define how computational approaches shape our understanding and engineering of biology. You will work in a highly collaborative team with expert experimental biologists to realize the full impact of your work, and also have the opportunity to contribute to Institute-wide machine learning efforts such as Arc’s Virtual Cell Initiative.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about developing machine learning models with real-world applications and scientific impact&lt;/li&gt;
&lt;li&gt;You have a strong understanding of modern deep learning, computational biology, and genetics&lt;/li&gt;
&lt;li&gt;You are excited about collaborating with a multidisciplinary team of experimental biologists and machine learning researchers at Arc&lt;/li&gt;
&lt;li&gt;You are known for your ability to analyze/visualize complex datasets, build high-quality ML tools, draw meaningful conclusions, and work effectively in a multidisciplinary team.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are familiar with recently reported projects in the lab, including our recent work in the fields of generative genomics and biological design: &lt;a href=&quot;https://www.science.org/doi/10.1126/science.ado9336&quot;&gt;genomic language modeling&lt;/a&gt;, &lt;a href=&quot;https://www.biorxiv.org/content/10.1101/2024.07.01.600583v1&quot;&gt;protein language modeling&lt;/a&gt;, and &lt;a href=&quot;https://www.nature.com/articles/s41586-024-07552-4&quot;&gt;discovering new genome engineering tools&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Train and evaluate state-of-the-art machine learning models for molecular biology and genomics&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Develop methods for applying biological language models to the study of both eukaryotic and prokaryotic genome function and gene discovery&lt;/li&gt;
&lt;li&gt;Apply recent advances in mechanistic interpretability, such as sparse autoencoders, to the study of genomic language models such as Evo&lt;/li&gt;
&lt;li&gt;Develop, test, and maintain modular open-source software to accelerate adoption and application of genomic language models.&lt;/li&gt;
&lt;li&gt;Contribute directly to ongoing discovery projects in the lab in the fields of generative genomics, genome engineering, and therapeutics&lt;/li&gt;
&lt;li&gt;Effectively communicate analysis results to experimental scientists as well as computational scientists&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genetics/Genomics, with 0-5 years of industry/academia experience post degree.&lt;/li&gt;
&lt;li&gt;Hands-on experience with training and evaluating the performance of machine learning models for large datasets&lt;/li&gt;
&lt;li&gt;High competency with Python, bash, and standard deep learning frameworks such as PyTorch&lt;/li&gt;
&lt;li&gt;Experience with Linux, git/GitHub, Docker, and Jupyter/RMarkdown notebooks.&lt;/li&gt;
&lt;li&gt;Appreciation for how choices in experimental design affect the data analysis process.&lt;/li&gt;
&lt;li&gt;Enjoy working collaboratively and cross-functionally with experimental scientists&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $124,000 to $148,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding:&lt;/strong&gt; Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially, and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Jain Lab (&lt;a href=&quot;https://urldefense.proofpoint.com/v2/url?u=https-3A__ishajainlab.com_&amp;amp;d=DwMF-g&amp;amp;c=iORugZls2LlYyCAZRB3XLg&amp;amp;r=vNfva3Zcxin30zKAYt_noLb6dTqLO9YBIU9maXLKVgc&amp;amp;m=b7Q1OMvGii23FwRK-OoLUQBCXtY-Iv2b3lg6TRHv7n0&amp;amp;s=4LclCVUYC_syLsZYmGpVfdJTbpdN6zNlyn-sI3wu3Vk&amp;amp;e=&quot;&gt;https://ishajainlab.com&lt;/a&gt;) is looking for motivated, hard-working and curious applicants. At a high level, we study how organisms interact with their environments – how “what we breathe” and “what we eat” affects our metabolism and disease progression. More specifically, we are focused on oxygen and vitamin/cofactor metabolism. We recently discovered that chronic hypoxia (equivalent to living in the mountains of Peru or Nepal) can serve as a therapy for mitochondrial disease. This approach is currently in clinical trials. This work has inspired a broader set of research directions ranging from fundamental biochemistry to animal physiology.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The questions we ask:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;How do cells and organisms sense oxygen or vitamin levels? Are there novel oxygen sensors and vitamin sensors to be found?&lt;/li&gt;
&lt;li&gt;How does the body adapt to variations in oxygen levels? Or vitamin levels?&lt;/li&gt;
&lt;li&gt;When the supply and demand of oxygen or vitamins becomes mismatched, how does this contribute to disease?&lt;/li&gt;
&lt;li&gt;Can we “turn the oxygen and vitamin dials” as creative new therapies?&lt;/li&gt;
&lt;li&gt;What is the most practical form of turning these concepts into translatable therapies?&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;The approach we take: CRISPR screens, metabolomics, classical biochemistry/molecular biology, animal physiology and beyond.&lt;/p&gt;
&lt;p&gt;Post-docs will be encouraged to lead independent projects resulting in high impact publications, present at conferences and prepare for long-term careers in academia or industry.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are extremely curious and self-motivated to push the boundaries of biomedical research.&lt;/li&gt;
&lt;li&gt;You thrive in a fast-paced environment while conducting rigorous and impactful research.&lt;/li&gt;
&lt;li&gt;You are intellectually independent and are able to design new research directions and projects (with input from your PI).&lt;/li&gt;
&lt;li&gt;You are eager to learn and adapt new techniques.&lt;/li&gt;
&lt;li&gt;You are excited by solving puzzles that have a translational impact.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Find new functions for enzymes or cofactors (vitamins)&lt;/li&gt;
&lt;li&gt;Contribute to our molecular understanding of how key metabolites are sensed by the body.&lt;/li&gt;
&lt;li&gt;Develop novel therapeutic strategies for nutrient-based therapies.&lt;/li&gt;
&lt;li&gt;Collaborate with post-docs and students to understand how enzymes and metabolites interact for key biochemical functions.&lt;/li&gt;
&lt;li&gt;Publish, present, and represent that lab in journals and conferences.&lt;/li&gt;
&lt;li&gt;Present at lab meetings, and participate in Arc-wide activities (seminars, symposiums, etc).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in metabolism, animal physiology, molecular biology, biochemistry, genomics, or related field&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The minimum base salary for this position is $80,000. Base salary for this role is determined by how many months of relevant postdoctoral experience a successful candidate has. Base salary for this role is not negotiable.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a highly motivated, well-organized, and technically proficient Research Associate II to join the Gilbert laboratory at the Arc Institute. In this position, you will contribute to the development of new technologies for functional genomics and gain expertise in molecular biology, mammalian cell culture, and cell engineering. You will have the opportunity to work with scientists in single-cell genomics, computational biology, and CRISPR-Cas systems. The Research Associate will be expected to work independently and collaboratively with members of the Gilbert laboratory. A successful applicant will demonstrate attention to detail, an eagerness to learn new skills, and the ability to self-direct. Compensation will be competitive with industry jobs relative to experience level and background.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are excited about a broad range of scientific and research topics and have taken a variety of courses to explore your interests.&lt;/li&gt;
&lt;li&gt;You are organized and detail-oriented when planning and performing experimental tasks.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You think about scientific questions critically, pursuing a deep understanding of each experimental step.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You thrive in a team environment, working collaboratively at a fast pace.&lt;/li&gt;
&lt;li&gt;You enjoy exploring new technologies and how they enable large-scale multi-omic biological measurements.&lt;/li&gt;
&lt;li&gt;You explicitly wish to use this experience to gain entry into a PhD program and are able to provide a minimum 2-year commitment to build a portfolio of work to support you in that endeavor.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Utilize a wide array of molecular biology techniques, such as restriction enzyme cloning, Gibson Assembly, Golden Gate Assembly, gel electrophoresis, cDNA synthesis, PCR, qPCR, bacterial transformation, DNA &amp;amp; RNA purification, ELISA, and NGS sample preparation&lt;/li&gt;
&lt;li&gt;Gain experience in mammalian cell culture, flow cytometry, AAV &amp;amp; lentivirus production, cell engineering, and computational biology&lt;/li&gt;
&lt;li&gt;Assist with research planning, execution, analysis, troubleshooting, and data interpretation with support from the Gilbert laboratory&lt;/li&gt;
&lt;li&gt;Develop into a well-rounded researcher through reading applicable literature, taking ownership of experiments, and collaborating with Arc Scientists&lt;/li&gt;
&lt;li&gt;Maintain careful records, work independently, and communicate experimental results clearly&lt;/li&gt;
&lt;li&gt;Thrive in a fast-paced team environment&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Actively participate in journal club, lab meetings, and seminars through presentations and discussions&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;BS/MS or equivalent professional experience in cell &amp;amp; molecular biology, biochemistry, bioengineering, or similar field.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;2+ years of relevant experience in an academic or industry setting (including independent lab work during your undergraduate studies).&lt;/li&gt;
&lt;li&gt;Hands-on experience with molecular biology techniques including qRT-PCR, PCR, DNA and RNA isolation, and DNA &amp;amp; RNA purification&lt;/li&gt;
&lt;li&gt;Familiarity with scientific software (Prism/FloJo) or programming languages (Python/R) for data analysis.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Display broad interest in scientific research, demonstrated through courses or research projects&lt;/li&gt;
&lt;li&gt;Must have excellent written and oral communication skills.&lt;/li&gt;
&lt;li&gt;Must have strong attention to detail and organization skills, as well as the ability to troubleshoot experiments independently.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Highly collaborative, team-oriented, Self-motivated and take ownership of projects.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The base salary for this position is $73,700. This amount does not include benefits or other forms of compensation.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly skilled and motivated Scientist to join the Horns laboratory at the Arc Institute. In this position, you will contribute to developing cutting-edge technology at the interface of synthetic biology and genomics, as well as harnessing this technology to understand complex diseases, such as cancer, autoimmunity, and neurodegeneration. You will play a critical role in creating new approaches to monitor the dynamics of cellular states using nucleic acid measurements, building upon our recent work on&amp;nbsp;&lt;a href=&quot;https://www.cell.com/cell/fulltext/S0092-8674(23)00689-X&quot;&gt;cellular RNA export technology&lt;/a&gt;. You will have the opportunity to partner closely with pioneering labs that have developed the fundamental toolbox for cellular RNA export, single-cell RNA sequencing, and genome engineering.&lt;/p&gt;
&lt;p&gt;The successful candidate will develop and apply cellular monitoring technologies within the Horns lab at the Arc Institute. This work will initially focus on creating novel approaches for monitoring dynamic cellular states and on using these approaches in mammalian model systems to discover fundamental biological principles and therapeutic strategies for cancer, immune, and neurodegenerative diseases. The successful candidate will collaborate with other members of Arc’s labs and Technology Centers in a dynamic environment to drive innovative scientific discoveries. The ideal candidate would have a passion for cutting-edge technology development and a proven track record of working in an interdisciplinary environment and turning concepts into reliable methods and results. This is an excellent opportunity for an ambitious self-starter who is motivated to apply his/her skills to diverse projects and enjoys working in a collaborative, fast-paced team environment.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and answering questions related to genomics technology, cellular states, complex human diseases, and synthetic biology.&lt;/li&gt;
&lt;li&gt;You are excited to develop new molecular tools to answer fundamental questions.&lt;/li&gt;
&lt;li&gt;You are creative and eager to explore new approaches beyond the techniques you are familiar with. You enjoy stepping out of your comfort zone to learn new things and develop new experimental approaches.&lt;/li&gt;
&lt;li&gt;You work fast, yet are diligent and detail-oriented. You are good at troubleshooting. You are careful about good documentation practices and keeping things organized while moving at a rapid pace.&lt;/li&gt;
&lt;li&gt;You excel at organization, time management, and task prioritization, and enjoy driving multiple projects in parallel.&lt;/li&gt;
&lt;li&gt;You love to collaborate and help others. Science is a team effort, and you pride yourself in taking the initiative to help.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop technologies for monitoring cellular dynamics using cell engineering and nucleic acid measurements (e.g. NGS, in situ hybridization).&lt;/li&gt;
&lt;li&gt;Apply these technologies in mammalian model systems (e.g. stem cell cultures, 3D cultures, and animal models) to interrogate complex human diseases.&lt;/li&gt;
&lt;li&gt;Embrace the opportunity to creatively collaborate with Technology Centers and other laboratories.&lt;/li&gt;
&lt;li&gt;Maintain accurate and detailed records of experimental protocols, results, and conclusions.&lt;/li&gt;
&lt;li&gt;Present key research findings at internal meetings and seminars, and external conferences.&lt;/li&gt;
&lt;li&gt;Provide guidance and mentorship to Research Associates.&lt;/li&gt;
&lt;li&gt;Stay updated on advancements in the field of single-cell technology, genomics, and synthetic biology by reading the literature and attending conferences.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in molecular biology, biochemistry, genomics, bioengineering, or a related field with 0-5 years of relevant post-PhD experience in either academia or industry.&lt;/li&gt;
&lt;li&gt;Proven record in genomics, single-cell biology, or related method development publications.&lt;/li&gt;
&lt;li&gt;Deep expertise in molecular biology, focusing on NGS, single-cell sequencing (RNA, DNA, or epigenetics), or in situ nucleic acid measurement (e.g. FISH, spatial transcriptomics) assay development and workflows.&lt;/li&gt;
&lt;li&gt;Experience with mammalian cell culture, cell line engineering, and associated techniques for construct design, cloning, and characterization of genetically modified cells (flow cytometry, microscopy).&lt;/li&gt;
&lt;li&gt;Demonstrated success in developing and optimizing novel molecular biology assays with strong troubleshooting skills.&lt;/li&gt;
&lt;li&gt;Familiarity with current bioinformatic tools and ability to analyze large and complex sequencing data sets using Python, R, or similar tools.&lt;/li&gt;
&lt;li&gt;Strong project management skills with the ability to plan, execute, and deliver results on time.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work in a fast-paced environment and be both an independent thinker and a highly collaborative team player.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Preferred qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience with mammalian synthetic biology is a plus.&lt;/li&gt;
&lt;li&gt;Experience with microscopy is a plus.&lt;/li&gt;
&lt;li&gt;Experience with virus or vesicle purification and characterization is a plus.&lt;/li&gt;
&lt;li&gt;Experience with animal handling, colony management, and surgery is a plus. Techniques of special interest: intraperitoneal, tail-vein, and retro-orbital injections, blood and tissue collection.&lt;/li&gt;
&lt;li&gt;Experience working with cancer models or immune or brain cells (HSCs, T cells, B cells, monocytes, neurons, glia) is a plus.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;The base salary range for this position is $121,500 to $134,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly skilled and motivated Scientist to join the &lt;a href=&quot;https://arcinstitute.org/labs/hornslab&quot;&gt;Horns laboratory at the Arc Institute&lt;/a&gt;. In this position, you will contribute to developing cutting-edge delivery technology. You will play a critical role in creating new approaches to discover and engineer biological nanoparticle-based delivery vectors – such as virus-like particles and vesicles – for precise delivery of nucleic acids and other therapeutic cargo. Your work will directly impact the development of therapeutic systems to address complex diseases.&lt;/p&gt;
&lt;p&gt;The successful candidate will discover, design, and engineer delivery vehicles. We will initially focus on creating novel, scalable strategies for characterizing and optimizing next-generation delivery vehicles for cell type- or tissue-specific targeting, with a focus on viral and extracellular vesicle-based vectors. The candidate will collaborate with other members of Arc’s labs and Technology Centers in a dynamic environment to drive scientific discoveries, including partnering with groups within Arc Institute who are leaders in viral vector and vesicle engineering, RNA medicine, single-cell genomics, genome engineering, and AI/ML. The successful candidate will be an ambitious self-starter, be motivated to apply their skills to diverse projects and enjoy working in a collaborative, fast-paced team environment.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and about tackling challenging problems in drug delivery, synthetic biology, and complex human disease.&lt;/li&gt;
&lt;li&gt;You are excited to develop new molecular technologies to answer complex questions.&lt;/li&gt;
&lt;li&gt;You are creative and eager to explore new approaches beyond the techniques you are familiar with. You enjoy stepping out of your comfort zone to learn new things and develop new experimental approaches.&lt;/li&gt;
&lt;li&gt;You work fast, yet are diligent and detail-oriented. You are good at troubleshooting. You are careful about good documentation practices and keeping things organized while moving at a rapid pace.&lt;/li&gt;
&lt;li&gt;You excel at organization, time management, and task prioritization, and enjoy driving multiple projects in parallel.&lt;/li&gt;
&lt;li&gt;You love to collaborate and help others. Science is a team effort, and you pride yourself in taking the initiative to help.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop technologies for discovering, characterizing, and engineering biological nanoparticle-based drug delivery systems (e.g. viral vectors and vesicles) using protein engineering and scalable screening approaches.&lt;/li&gt;
&lt;li&gt;Embrace the opportunity to creatively collaborate with Technology Centers and other laboratories.&lt;/li&gt;
&lt;li&gt;Maintain accurate and detailed records of experimental protocols, results, and conclusions.&lt;/li&gt;
&lt;li&gt;Present key research findings at internal meetings and seminars, and external conferences.&lt;/li&gt;
&lt;li&gt;Provide guidance and mentorship to Research Associates.&lt;/li&gt;
&lt;li&gt;Stay updated on advancements in the field of synthetic biology and drug delivery by reading the literature and attending conferences.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in cell or molecular biology, genetics, biochemistry, bioengineering, or a related field with 0-5 years of relevant postdoctoral experience in academia and/or industry.&lt;/li&gt;
&lt;li&gt;Extensive expertise in pooled screening technologies and associated library design, implementation, and NGS workflows.&lt;/li&gt;
&lt;li&gt;Strong experience in developing viral vectors, vesicles, lipid nanoparticles, or similar delivery systems.&lt;/li&gt;
&lt;li&gt;Experience with mammalian cell culture, cell engineering, and associated techniques for construct design, cloning, and characterization of genetically modified cells (flow cytometry, microscopy).&lt;/li&gt;
&lt;li&gt;Proven ability to troubleshoot complex experimental workflows.&lt;/li&gt;
&lt;li&gt;Ability to analyze large and complex data sets using Python, R, or similar tools.&lt;/li&gt;
&lt;li&gt;Strong project management skills with the ability to plan, execute, and deliver results on time.&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work both independently and in a highly collaborative multidisciplinary environment.&lt;/li&gt;
&lt;li&gt;Willingness to learn and conduct in vivo experiments with animal models.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience with computational protein design or genome mining is a plus.&lt;/li&gt;
&lt;li&gt;Experience with protein biochemistry is a plus.&lt;/li&gt;
&lt;li&gt;Experience with animal handling and procedures (e.g. injection, tissue collection) is a plus.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $121,500 to $134,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;Arc scaled to nearly 100 people in its first year. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly to several hundred in the coming years.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;We are seeking a highly skilled and motivated Scientist or Senior Scientist with a strong background in &lt;em&gt;in vivo&lt;/em&gt; technology development or virology to join the Gilbert lab at Arc Institute.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;In this position you will play a critical role in A) developing advanced in vivo delivery technologies (e.g. viral/VLP/LNP) for CRISPR therapeutics and B) in using or developing in vivo functional genomics approaches. This will require the development of new technologies that solve the current limitations of &lt;em&gt;in vivo&lt;/em&gt; approaches:&amp;nbsp; i) effective and precise genetic and transcriptional perturbations directly &lt;em&gt;in vivo&lt;/em&gt; and ii) comprehensive and scalable readouts of perturbed cellular states. The successful candidate will develop and advance technologies in these areas to enable in vivo therapeutic approaches and also large-scale &lt;em&gt;in vivo&lt;/em&gt; perturbation datasets across diverse cell types, tissues and organs.&amp;nbsp;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;In this context, you will also have the opportunity to collaborate with pioneering labs that have developed the fundamental toolbox for functional genomics screens, including CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, Cas13d, multiCas12a and serine and bridge recombinases.&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;You are passionate about science and love developing in vivo technologies for therapeutic delivery or for functional genomics that work exceptionally well in real-world biological applications.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You are excited about answering questions related to therapeutic applications of genomic medicines.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You have&amp;nbsp; strong in vivo experience, as well as deep expertise in one or more of these 3 areas:&amp;nbsp; virology, in vivo delivery (e.g. LNP/VLP/viral) or functional genomics.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You are creative and are excited to try new ways of tackling problems beyond the technique/approaches you are familiar with. You enjoy stepping out of your comfort zone to learn new things and develop new experimental approaches.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You are self motivated and work fast while remaining detail-oriented. You are good at troubleshooting. You are careful and diligent about good documentation practices and keeping things organized while moving at a rapid pace.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;You love to collaborate and help others and are excited to work as part of a team. Science is a team effort, and you pride yourself in taking the initiative to help.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;Develop new technologies for in vivo delivery of therapeutic modalities such as CRISPR tools.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Enable large scale &lt;em&gt;in vivo&lt;/em&gt; functional genomics screening projects with simple and complex readouts such as single-cell and spatial readouts.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Collaborate closely with other Gilbert lab scientists.&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Collaborate with other Core Investigators or Arc Technology Centers to advance our Virtual Cell Initiative and Alzheimer’s Disease Initiatives.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Keep up-to-date on advances in the field by reading the literature and attending key conferences.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Analyze data and present at meetings and seminars.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Train and mentor Research Associates and establish standardized protocols for the use by Gilbert lab or other groups at Arc.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;The successful candidate will be an ambitious self-starter, be motivated to apply his/her skills to diverse projects and enjoy working in a collaborative and fast-paced team environment&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;PhD in biology, virology, genetics, bioengineering or another relevant field.&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;4+ years of experience developing technology in either of these three areas:&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;In vivo delivery (e.g. viral/VLP/LNP)&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;In vivo functional genomics&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;In vivo therapeutics&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Strong track record in developing innovative technologies with creative approaches&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;&lt;em&gt;In vivo&lt;/em&gt; experience and a desire to continue working primarily &lt;em&gt;in vivo&lt;/em&gt;&amp;nbsp;&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Expertise in molecular biology in the context of in vivo delivery approaches, genome engineering or functional genomics&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Strong project management skills with the ability to plan, execute, and deliver results on time&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Extensive troubleshooting experience and strong problem-solving skills&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Demonstrated ability to drive forward highly collaborative projects with a high degree of independence from your mentor / manager&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;p class=&quot;p1&quot;&gt;Expertise in either of the following areas will be considered an additional asset for this role:&lt;/p&gt;
&lt;ul class=&quot;ul1&quot;&gt;
&lt;li class=&quot;li1&quot;&gt;In vivo imaging&lt;/li&gt;
&lt;li class=&quot;li1&quot;&gt;Ability to analyze large and complex data sets using Python, R, or similar tools&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;The base salary range for this position is $124,000 - $148,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigator’s (PI’s) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are looking for a passionate scientist with a strong single cell and molecular assay development background to join our Multiomic Technology Development Center at Arc Institute. You will work closely with scientists and research associates in the technology centers and core investigator labs at Arc to unleash the potentials of single cell analysis tools for cutting edge neurodegenerative diseases and cancer research.&amp;nbsp; You will develop and apply high-throughput single cell multiomic readouts of mammalian genomes, transcriptomes and epigenomes to large-scale genetic and environmental perturbations. You will play a critical role in the Institute’s Virtual Cell Initiative, which aims to create the first foundational model that makes accurate predictions of cellular states and their responses to intervention, and ultimately to help identify rational therapeutic targets for devastating complex human diseases.&amp;nbsp;&amp;nbsp;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The ideal candidate would have a passion for cutting edge technology development and a proven track record of working in an interdisciplinary environment which leads to turning concepts into reliable methods and results. This is an excellent opportunity for a highly motivated and curious scientist interested in the intersection of basic discovery research and biotech goal-driven technology development.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and excited about answering questions related to single cell, genetic perturbations and complex human diseases.&lt;/li&gt;
&lt;li&gt;You are excited to develop novel molecular assays and tools to answer complex biological questions&lt;/li&gt;
&lt;li&gt;You are creative, curious and unafraid to try new methodologies of tackling problems beyond the technique/approaches you are familiar with.&lt;/li&gt;
&lt;li&gt;You understand the importance of collaboration and the opportunity to thrive when working with a diverse team of scientists&lt;/li&gt;
&lt;li&gt;You have a deep commitment to data quality, reproducibility, scalability while working in a fast-paced environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work with the principal research scientist to drive single-cell technology development projects from concept through development and application, and contribute to the multiomic center technology roadmap in the single cell space&lt;/li&gt;
&lt;li&gt;Develop and optimize high throughput low cost single-cell perturbation sequencing technologies and workflows in-house&lt;/li&gt;
&lt;li&gt;Evaluate and implement commercial systems and workflows&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Stay updated on the latest developments in the fields of single cell and genomics, actively seeking out opportunities for innovation&lt;/li&gt;
&lt;li&gt;Manage projects and have responsibility for planning, tracking, and driving timely execution of research activities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Maintain accurate and detailed records of experimental protocols, results, and conclusions&lt;/li&gt;
&lt;li&gt;Report progress and present data in internal and external meetings&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in molecular biology, biochemistry, genomics, or similar fields with 0-5 years of post-PhD experience in either academia or industry&lt;/li&gt;
&lt;li&gt;Proven record in single cell biology or related method development publications&lt;/li&gt;
&lt;li&gt;Deep expertise in molecular biology focusing on NGS assay development and various single-cell RNA sequencing workflows&lt;/li&gt;
&lt;li&gt;Demonstrated success in developing and optimizing novel molecular biology assays with strong troubleshooting skills in collaboration with computational biologists&lt;/li&gt;
&lt;li&gt;Strong project management and organizational skills with the ability to plan, execute, and deliver results on time&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills&lt;/li&gt;
&lt;li&gt;Demonstrated ability and desire to work in a fast-paced environment and be both an independent thinker and a highly-collaborative team player&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience with CRISPR-Cas9 or other genome editing technologies and hands-on Perturb-seq experience is a strong plus&lt;/li&gt;
&lt;li&gt;Experience with the development of a novel single cell tool, both wet lab and dry web is a strong plus&lt;/li&gt;
&lt;li&gt;Experience with single cell epigenetics or multiomic readout is a plus&lt;/li&gt;
&lt;li&gt;Familiarity with current single cell bioinformatic tools and ability to analyze large and complex sequencing data sets using Python, R, or similar tools is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The base salary range for this position is $121,500 to $134,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly motivated and independent immunologist and cell engineer with leading contributions in (CAR) T cell screening. The successful candidate will join Paul Datlinger’s team within the Genome Engineering Technology Center at Arc, and will lead primary T cell screening for Arc’s Virtual Cell Initiative. You will play a critical role in the Institute’s Virtual Cell Initiative, which aims to create the first foundational model that makes accurate predictions of cellular states. You will pioneer its application to cancer immunotherapy. You will join a team with a track record of foundational contributions in the field, including some of the first studies of mammalian CRISPR genome engineering (CRISPRi, a, ko, Cas13), single-cell CRISPR screens (CROP-seq), T cell screening (SLICE, PoKI-seq), and DNA foundation modeling (Evo).&lt;/p&gt;
&lt;p&gt;You will design and execute pioneering synthetic biology screens in collaboration with Arc’s AI and computational biology researchers, and invent novel technologies for non-invasive, real-time functional genomics. This is a unique opportunity for a creative scientist to make a significant contribution at the intersection of biology and machine learning. If you’re ready to shape the foundation of our Virtual Cell Initiative and its application to T cell immunotherapies, we invite you to apply for this exciting role. We encourage both academic and industry scientists to apply, as this role involves innovative technology development and industry-scale cell engineering and single-cell profiling.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about T cell screening, cellular immunotherapies, and synthetic biology&lt;/li&gt;
&lt;li&gt;You are innovative and follow the latest industry trends and clinical studies for cancer immunotherapies&lt;/li&gt;
&lt;li&gt;You are driven by disruptive technology development and are excited to build a virtual cell model and explore its applications for T cell immunotherapy&lt;/li&gt;
&lt;li&gt;You possess a deep and intuitive understanding of cancer immunology and T cell biology&lt;/li&gt;
&lt;li&gt;You’re ready to lead a highly visible, multi-disciplinary project and can effectively translate between cell engineers, biotechnologists and AI scientists&lt;/li&gt;
&lt;li&gt;You are an engaging speaker and enjoy sharing new data through publications and at international conferences&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build a world-leading platform for single-cell screens in primary human T cells for Arc’s Virtual Cell Initiative&lt;/li&gt;
&lt;li&gt;Closely collaborate with Arc’s AI team on model architectures, and iterate quickly between data production &amp;amp; model training&lt;/li&gt;
&lt;li&gt;Devise and evaluate applications of AI virtual cells for cancer immunotherapy&lt;/li&gt;
&lt;li&gt;Invent methods for live genomics, where T cells report genetic perturbations, immune receptors, and transcripts in real time&lt;/li&gt;
&lt;li&gt;Perform &lt;em&gt;in vivo&lt;/em&gt; screens in mouse T cell immunotherapy models&lt;/li&gt;
&lt;li&gt;Support pooled optical screens in primary T cells in vitro and in tissues&lt;/li&gt;
&lt;li&gt;Develop scalable and automated T cell engineering workflows using flow electroporators and bioreactors&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in Molecular Biology, Medicine, Genomics, or a similar field. Post-PhD experience is a plus&lt;/li&gt;
&lt;li&gt;Experience working in a cutting-edge T cell immunotherapy setting, such as a renowned academic lab or innovative company, documented through publications, preprints or patents&lt;/li&gt;
&lt;li&gt;Extensive experience with T cell isolation, culture, transduction, electroporation&lt;/li&gt;
&lt;li&gt;Track record of innovative technology development for primary T cell engineering, in particular for CRISPR screening (knock-out, knock-down, knock-in, ORFs, base editing, prime editing, CRISPRoff)&lt;/li&gt;
&lt;li&gt;Extensive experience with flow cytometry and cell sorting, including the design of custom panels for T cell phenotypes&lt;/li&gt;
&lt;li&gt;Deep knowledge of T cell and cancer biology and the clinical limitations of cellular therapies&lt;/li&gt;
&lt;li&gt;Experience with mouse immunotherapy models&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills, with the ability to accurately document data, experiments, and projects&lt;/li&gt;
&lt;li&gt;Strong time management skills with the ability to manage your own workflow independently&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ability to design and analyze CRISPR screens and single-cell experiments with R or Python is a strong plus&lt;/li&gt;
&lt;li&gt;Experience with &lt;em&gt;in vivo&lt;/em&gt; CRISPR screens is a strong plus&lt;/li&gt;
&lt;li&gt;Experience with single-cell profiling or perturbation screening is a strong plus&lt;/li&gt;
&lt;li&gt;Experience with mouse T cell engineering is a plus&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $121,500 to $134,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking an exceptional scientific leader and researcher to build and manage the Cellular Models Center, one of the foundational Technology Centers at the Arc Research Institute. The Center will be internally funded and staffed by professional research scientists, with the overall mission of developing cellular models to study human disease.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;The center will be focused on developing and applying advanced human multi cell-type models to initially model Alzheimer’s disease and other neurodegenerative disorders using cutting edge genetic screening approaches. The center will play a key role in our Institute-wide Alzheimer’s initiative that is a highly collaborative and ambitious effort across other Tech Centers as well as Core Laboratories at the Institute for high-throughput interrogation of disease mechanisms via investigation of the role of human genetic variants using gene editing and functional genomics, and eventual development of rational therapeutic strategies.&lt;/p&gt;
&lt;p&gt;In addition, the center will engage in diverse collaborations with other Tech centers and Laboratories to develop and apply other human cellular models to investigate other complex diseases, including immune-related conditions as part of our overall mission.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are a scientific leader in developing and applying advanced human cellular models to investigate biology and disease.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You think about gaps in this space and are excited to push the scientific frontier both on model development as well as model application to generate physiologically relevant and mechanistic insights.&lt;/li&gt;
&lt;li&gt;You are a collaborator. You’re an expert in your domain and you greatly enjoy working successfully with scientists from other teams, labs and scientific domains to do more exciting science together.&amp;nbsp;&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You love to learn. You love learning new skills and new domains in addition to staying up-to-date on the latest in your field.&lt;/li&gt;
&lt;li&gt;You are a mentor. Being a great scientific leader doesn’t stop at hiring your team. You love mentoring and developing people both professionally and scientifically – both in your team as well as other scientific teams at Arc.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build out and manage a fully funded Cellular Models Technology Center of ~15 FTEs, including the leader of the existing Stem Cell Platform with 4 team members.&lt;/li&gt;
&lt;li&gt;Actively recruit, mentor and provide guidance to research staff and develop them professionally and scientifically&lt;/li&gt;
&lt;li&gt;Partner with Principal Investigators and other Technology Centers to advance research across the Institute and create a culture of collaboration and excellence&lt;/li&gt;
&lt;li&gt;Drive forward all cellular modeling and investigation aspects of the Institute’s Alzheimer’s Initiative – including successfully managing and coordinating close collaborations with the Genome Engineering team, the Functional Genomics team, the Multi-Omics Center and the Computational tech center&lt;/li&gt;
&lt;li&gt;Develop and innovate on state of the art protocols, resources, and processes for advanced cellular modeling and applications to interrogate complex human disease that are actively deployed at the Institute and distributed to the broader scientific community&lt;/li&gt;
&lt;li&gt;Serve as a subject matter expert at Arc in key areas of focus, such as developmental biology, stem cell biology or neurobiology&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Engage in and manage varied internal and external research collaborations&lt;/li&gt;
&lt;li&gt;Present research findings at institute meetings and external scientific conferences&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Job Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD, DVM/PhD, MD, or MD/PhD in a relevant field and 10 – 15+ years of relevant experience in industry and academic settings&lt;/li&gt;
&lt;li&gt;Multiple years of people management experience leading and growing scientific teams, including several PhD level scientists&lt;/li&gt;
&lt;li&gt;Experience managing teams developing and applying advanced stem cell derived models&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Experience with 3D modeling approaches (e.g. organoids or assembled spheroids)&lt;/li&gt;
&lt;li&gt;Experience with applying functional and genomic analysis to derive novel biological and mechanistic disease insights from cellular models&lt;/li&gt;
&lt;li&gt;Outstanding written and verbal communication skills across project planning, publications and verbal scientific presentations&lt;/li&gt;
&lt;li&gt;The successful candidate will be an ambitious self-starter, be motivated to apply his/her skills to diverse projects and enjoy working in a fast-paced team environment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;The base salary range for this position is $243,750-$301,150. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, &lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;and whether the compensation is internally equitable,&lt;/span&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt; and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/span&gt;&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding:&lt;/strong&gt; Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture: &lt;/strong&gt;We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is seeking a Senior Scientist to join the Bioinformatics team within the Computational Technology Center. The successful candidate will play a crucial role in advancing the Arc’s Virtual Cell Initiative, which aims to create the foundational model that makes accurate predictions of cellular states and their responses to perturbations, and ultimately to help identify rational therapeutic targets for complex human diseases.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and excited about answering biological questions related to complex human diseases.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You understand the importance of collaboration and thrive when working with a diverse team of scientists and engineers. &amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are an individual with a deep understanding of computational genomics, bioinformatics, machine learning, statistics, next-generation sequencing, and single-cell multi-omics.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are known for your ability to analyze complex datasets and work effectively in a multidisciplinary team.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Your organizational skills enable you to manage multiple concurrent projects, and your curiosity and creativity drive you to continuous learning and innovation.&lt;/li&gt;
&lt;li&gt;You possess outstanding scientific coding and software engineering skills&lt;/li&gt;
&lt;li&gt;You are experienced in project management within cross-functional teams.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position, you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Lead the efforts to design and implement state-of-the-art analysis pipelines for various high-throughput projects using best software engineering practices.&lt;/li&gt;
&lt;li&gt;Manage analysis projects for large-scale sequencing datasets (single-cell RNA-seq, epigenomics, multi-omics, Perturb-seq, spatial transcriptomics)&lt;/li&gt;
&lt;li&gt;Develop novel machine learning algorithms to get biological insights from the multifaceted genomic datasets.&lt;/li&gt;
&lt;li&gt;Lead computational side in the cross-functional teams tasked with developing novel genomic technologies.&lt;/li&gt;
&lt;li&gt;Mentor junior scientists in developing computational methods and utilizing bioinformatics tools and pipelines.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related quantitative field, with 5+ years of industry/academia experience&lt;/li&gt;
&lt;li&gt;Hands-on experience analyzing high-throughput sequencing datasets, especially on single-cell omics data (bulk and single-cell RNA-seq and ATAC-seq, Perturb-seq, etc.).&lt;/li&gt;
&lt;li&gt;High competency with Python, git/GitHub, and Linux.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to collaborate with wet-lab scientists.&lt;/li&gt;
&lt;li&gt;Strong statistical, mathematical, and analytical skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Skills&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience analyzing spatial transcriptomics, optical pooled screens, cell painting, and other imaging technologies.&lt;/li&gt;
&lt;li&gt;Familiarity with CRISPR screens technology and analyses.&lt;/li&gt;
&lt;li&gt;Scientific background in neuroscience or cancer biology.&lt;/li&gt;
&lt;li&gt;Experience with Nextflow pipelines.&lt;/li&gt;
&lt;li&gt;Familiarity with cloud computing.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;br&gt;The base salary range for this position is $132,250 to $183,250. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Funding: Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Support: Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly skilled and motivated Senior Scientist (or Scientist) with a strong background in technology development to join the In Vivo Functional Genomics team inside the Mammalian Models Technology Center at Arc Institute.&lt;/p&gt;
&lt;p&gt;In this position you will play a critical role in achieving one of Arc’s overarching goals, the Virtual Cell initiative (VCI), which aims at making accurate predictions of cellular states and their response to interventions. As part of this initiative, we will generate large-scale &lt;em&gt;in vivo&lt;/em&gt; functional genomics perturbation datasets to elucidate gene function and link genes to disease phenotypes. The VCI will integrate in vivo functional genomics approaches with predictive modeling to establish causal gene-phenotype connections that advance our understanding of human biology. This will require the development of new technologies that solve the current limitations of &lt;em&gt;in vivo&lt;/em&gt; approaches:&amp;nbsp; i) effective and precise genetic and transcriptional perturbations directly &lt;em&gt;in vivo&lt;/em&gt; and ii) comprehensive and scalable readouts of perturbed cellular states. The successful candidate will develop and advance technologies in these areas to enable large-scale &lt;em&gt;in vivo&lt;/em&gt; perturbation datasets across diverse cell types, tissues and organs.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;In this context, you will have the opportunity to partner closely with pioneering labs that have developed the fundamental toolbox for functional genomics screens, including CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, Cas13d, multiCas12a and serine and bridge recombinases.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and love developing technologies for molecular engineering or multi-modal single-cell readouts that work exceptionally well in real-world biological applications.&lt;/li&gt;
&lt;li&gt;You are excited about answering questions related to cellular identities and cell-cell communication across the fields of immunology, neurobiology and complex human diseases.&lt;/li&gt;
&lt;li&gt;You have&amp;nbsp; strong molecular biology experience, as well as deep expertise in developing methods in either of these 2 areas:&amp;nbsp; genome engineering or single-cell / spatial multi-omics readouts.&lt;/li&gt;
&lt;li&gt;You are creative and are excited to try new ways of tackling problems beyond the technique/approaches you are familiar with. You enjoy stepping out of your comfort zone to learn new things and develop new experimental approaches.&lt;/li&gt;
&lt;li&gt;You work fast while remaining detail-oriented. You are good at troubleshooting. You are careful and diligent about good documentation practices and keeping things organized while moving at a rapid pace.&lt;/li&gt;
&lt;li&gt;You love to collaborate and help others and are excited to work as part of a team. Science is a team effort, and you pride yourself in taking the initiative to help.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop new technologies to enable large scale &lt;em&gt;in vivo&lt;/em&gt; functional genomics screening projects (with a priority of applications in the brain and in immune systems).&lt;/li&gt;
&lt;li&gt;Test and develop different genome engineering and perturbation modalities &lt;em&gt;in vivo&lt;/em&gt;: CRISPR-KO, CRISPRi/a, ORF overexpression and recombinase/landing pad systems in close collaboration with other scientists at Arc.&lt;/li&gt;
&lt;li&gt;Test and develop single-cell and spatial readouts to study the effects of genetic perturbations in collaboration with the Multi-omics center at Arc.&lt;/li&gt;
&lt;li&gt;Train and mentor Research Associates and establish standardized protocols for the use by other groups at Arc.&lt;/li&gt;
&lt;li&gt;Collaborate closely with other Technology Centers and Core Investigator labs to advance our Virtual Cell Initiative and Alzheimer’s Disease Initiatives.&lt;/li&gt;
&lt;li&gt;Keep up-to-date on advances in the field by reading the literature and attending key conferences.&lt;/li&gt;
&lt;li&gt;Analyze data and present at meetings and seminars.&lt;/li&gt;
&lt;li&gt;The successful candidate will be an ambitious self-starter, be motivated to apply his/her skills to diverse projects and enjoy working in a collaborative and fast-paced team environment&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;PhD in biology, genetics, bioengineering or another relevant field.&lt;/li&gt;
&lt;li&gt;Strong track record in developing innovative genome engineering &amp;amp; CRISPR technologies with creative approaches.&lt;/li&gt;
&lt;li&gt;Experience using Single-cell or Spatial omics readouts.&lt;/li&gt;
&lt;li&gt;&lt;em&gt;In vivo&lt;/em&gt; experience and a desire to continue working primarily &lt;em&gt;in vivo&lt;/em&gt;&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Expertise in molecular biology in the context of omics profiling approaches, genome engineering or functional genomics&lt;/li&gt;
&lt;li&gt;Strong project management skills with the ability to plan, execute, and deliver results on time&lt;/li&gt;
&lt;li&gt;Extensive troubleshooting experience and strong problem-solving skills&lt;/li&gt;
&lt;li&gt;Demonstrated ability to drive forward highly collaborative projects with a high degree of independence from your mentor / manager&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;Expertise in either of the following areas will be considered an additional asset for this role:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;High content Microscopy&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Ability to analyze large and complex data sets using Python, R, or similar tools&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $114,875-$162,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution conducting curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Funding: Arc fully funds Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;Technology: Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize, and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Support: Arc aims to provide first-class support—operationally, financially, and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;Culture: We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly skilled and motivated Senior Scientist with a strong background in mammalian synthetic biology and protein and cellular engineering to join the Molecular Engineering team inside the Genome Engineering Technology Center at the Arc Institute. In this position, you will lead projects focused on the implementation and optimization of molecular tools for (1) monitoring cell state dynamics in complex organoid models and (2) increasing the complexity, precision, and throughput of genetic perturbation screens in disease-relevant human pluripotent stem cell (hPSC)-derived cells. Through the development of this technology, you will play a critical role in achieving one of Arc’s overarching goals, the Alzheimer’s Disease Initiative (ADI), which aims to identify and drug rational therapeutic targets for devastating neurodegenerative disorders&lt;/p&gt;
&lt;p&gt;This position is highly collaborative and the candidate will have an unique opportunity to interface with pioneering labs that have developed the fundamental toolbox for cellular RNA export, genome engineering, and functional genomics screens.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You are passionate about science and excited about answering questions related to molecular design, genome engineering technology development, and complex human diseases.&lt;/li&gt;
&lt;li&gt;You embrace challenges and often formulate creative solutions to develop new approaches and optimize existing tools to answer complex biological questions.&lt;/li&gt;
&lt;li&gt;You understand the importance of collaboration and thrive when working with a diverse team of scientists.&lt;/li&gt;
&lt;li&gt;You have a deep commitment to data quality while working in a fast-paced environment.&lt;/li&gt;
&lt;li&gt;Your organizational skills enable you to manage multiple concurrent projects, and your curiosity and creativity drive you to continuous learning and innovation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Collaborate closely with core labs to onboard and refine &lt;a href=&quot;https://www.cell.com/cell/fulltext/S0092-8674(23)00689-X?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS009286742300689X%3Fshowall%3Dtrue&quot; target=&quot;_blank&quot;&gt;cutting edge molecular tools&lt;/a&gt; that enable non-destructive measurement of cell dynamics in disease-relevant in vitro mammalian systems, including 3D organoid models that are being used to recapitulate and probe human genetics of neurodegenerative disorders.&lt;/li&gt;
&lt;li&gt;Leverage experience in protein and cellular engineering to improve the build and function of these engineered RNA export systems, as well as the precision and efficacy of effectors for genetic perturbations in hPSC-derived cells.&lt;/li&gt;
&lt;li&gt;Collaborate with cross-functional teams at Arc to integrate molecular design and engineering seamlessly with downstream in vitro disease modeling applications.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Embrace the unique opportunity to creatively collaborate with core labs and drive additional ad hoc early research projects.&lt;/li&gt;
&lt;li&gt;Stay updated on the latest developments in the fields of mammalian synthetic biology and molecular, cellular, and protein engineering, actively seeking out opportunities for innovation.&lt;/li&gt;
&lt;li&gt;Provide mentorship and guidance to research associates within the team.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ph.D. in Bioengineering, Molecular Biology, Biochemistry, or a related field, with a minimum of 4+ years of postdoctoral experience in academia and/or industry.&lt;/li&gt;
&lt;li&gt;Experience with mammalian cell culture, cell line engineering, and associated techniques for construct design, cloning techniques, and characterization of genetically modified cells.&amp;nbsp;&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Experience with and enthusiasm for applying cutting-edge molecular tools to disease modeling and function-based screening, and implementing application–driven iterative, systematic technology maturation.&lt;/li&gt;
&lt;li&gt;Protein and cellular engineering experience for applications in mammalian systems, with either directed evolution and/or arrayed, systematic rational engineering approaches.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Familiarity with techniques for stem cell and progenitor cell culturing and genetic manipulation.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work both independently and in a highly collaborative multidisciplinary environment.&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&lt;/li&gt;
&lt;li&gt;Strong project management skills with the ability to plan, execute, and deliver results on time.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ability to analyze large and complex data sets using Python, R, or similar tools.&lt;/li&gt;
&lt;li&gt;Familiarity or experience with genomic assay development and functional genomics.&lt;/li&gt;
&lt;li&gt;Familiarity with using in silico design to complement experimental based protein engineering and screening.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $131,750 to $162,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;About Arc Institute&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;The Arc Institute is a new scientific institution that conducts curiosity-driven basic science and technology development to understand and treat complex human diseases. Headquartered in Palo Alto, California, Arc is an independent research organization founded on the belief that many important research programs will be enabled by new institutional models. Arc operates in partnership with Stanford University, UCSF, and UC Berkeley.&lt;/p&gt;
&lt;p&gt;While the prevailing university research model has yielded many tremendous successes, we believe in the importance of institutional experimentation as a way to make progress. These include:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Funding: &lt;/strong&gt;Arc will fully fund Core Investigators’ (PIs’) research groups, liberating scientists from the typical constraints of project-based external grants.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Technology:&lt;/strong&gt; Biomedical research has become increasingly dependent on complex tooling. Arc Technology Centers develop, optimize and deploy rapidly advancing experimental and computational technologies in collaboration with Core Investigators.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Support:&lt;/strong&gt; Arc aims to provide first-class support—operationally, financially and scientifically—that will enable scientists to pursue long-term high risk, high reward research that can meaningfully advance progress in disease cures, including neurodegeneration, cancer, and immune dysfunction.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Culture:&lt;/strong&gt; We believe that culture matters enormously in science and that excellence is difficult to sustain. We aim to create a culture that is focused on scientific curiosity, a deep commitment to truth, broad ambition, and selfless collaboration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Arc has scaled to nearly 200 people. With $650M+ in committed funding and a state of the art new lab facility in Palo Alto, Arc will continue to grow quickly in the coming years.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About the position&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We are seeking a highly experienced Senior Scientist to advance the mission of our Alzheimer’s Disease Initiative (ADI), an institutional effort aimed at deepening our understanding of the molecular and biological processes driving Alzheimer’s Disease (AD). The person in this role will lead the development of innovative differentiation protocols to generate complex brain cell types including astrocytes, oligodendrocytes, and immune-related cells from human pluripotent stem cells (hPSCs), will conduct systematic protocol comparisons and create new models and approaches to capture the complexity of AD-relevant cell populations. The ideal candidate will have a strong background in neurodevelopmental biology, with a proven track record in generating novel differentiation protocols and leveraging genome editing tools and/or NGS, transcriptomics, proteomics or cell-based assays to characterize the cell models while generating valuable biological and mechanistic insights.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;You love science and the opportunities it creates. You find excitement in the opportunity to develop novel hPSC differentiation methodologies and in vitro brain models to address challenging questions in the field of neurodegeneration and find cellular and molecular pathways/targets directly responsible for disease phenotypes.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are a collaborator. You’re an expert in your domain and you greatly enjoy working successfully with scientists from other teams, labs and scientific domains. You believe that working on projects with scientists from different backgrounds can lead to the most exciting and successful research.&lt;/li&gt;
&lt;li&gt;You are an optimizer. In science, there’s always a race against the clock. You care deeply about making every step of the way as close to perfect as possible but also as quick and efficient as possible.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;In this position you will&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Lead development of novel differentiation protocols:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Design, test, and optimize protocols for differentiating hPSCs into challenging brain cell types.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Conduct systematic comparisons of existing protocols to identify areas for improvement.&lt;/li&gt;
&lt;/ul&gt;
&lt;li&gt;Establish advanced in vitro brain models:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Implement novel 2D and 3D brain models containing a variety of cell types to represent the complexity of the human brain.&lt;/li&gt;
&lt;li&gt;Integrate expertise in neurodevelopmental biology to enhance fidelity in Alzheimer&#39;s disease modeling and build systems that closely reflect disease-associated phenotypes.&lt;/li&gt;
&lt;/ul&gt;
&lt;li&gt;Use a range of assays (cell-based, biochemical, molecular) and techniques (NGS, transcriptomics, proteomics) to rigorously validate cell identity, assess cellular function, and confirm model relevance to AD pathophysiology.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Interpret complex datasets to understand the molecular and cellular drivers of AD, directly shaping the scientific direction of internal research projects and guiding the selection of new targets and approaches.&lt;/li&gt;
&lt;li&gt;Use CRISPR-Cas9 and other genome editing techniques to discover new pathways for cell differentiation.&lt;/li&gt;
&lt;li&gt;Collaborate and lead cross-functional projects, integrating in vitro brain models into broader research and technology development programs at Arc.&lt;/li&gt;
&lt;li&gt;Provide mentorship and guidance to research associates and junior scientists.&lt;/li&gt;
&lt;li&gt;Manage projects effectively to deliver results on time.&lt;/li&gt;
&lt;li&gt;Stay current with scientific advances, keeping up to date on the latest developments in stem cell research and neurobiology, and actively seeking opportunities for innovation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Requirements&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ph.D. in Neuroscience, Cell Biology, or a related field with a minimum of 4-5+ years of postdoctoral experience in academia and/or industry.&lt;/li&gt;
&lt;li&gt;Extensive expertise in neurodevelopmental biology and hPSC-based differentiation protocols.&lt;/li&gt;
&lt;li&gt;Proven experience in developing and troubleshooting novel protocols for differentiating astrocytes, oligodendrocytes, and/or immune-related cells.&lt;/li&gt;
&lt;li&gt;Strong background in systematic protocol comparisons, optimization, and validation.&lt;/li&gt;
&lt;li&gt;Excellent communication skills, both written and verbal.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to work independently and collaboratively in a multidisciplinary environment.&lt;/li&gt;
&lt;li&gt;Strong project management skills with the ability to plan, execute, and deliver results on time.&lt;/li&gt;
&lt;li&gt;Ability to work some weekends as needed (days off can be swapped for weekdays).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred Qualifications&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience with high-throughput screening methodologies and applications.&lt;/li&gt;
&lt;li&gt;Proficiency with CRISPR-Cas9 and other genome editing tools.&lt;/li&gt;
&lt;li&gt;A track record of publications demonstrating innovation in neurodevelopmental biology and stem cell differentiation.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $131,750 to $162,750. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

Working at the Arc Institute Solving hard science problems together

Ambition and vision

Curiosity coupled with pragmatic solutions

Collaboration

Compensation and benefits

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