Core Facilities

Palo Alto, CA

Machine Learning Scientist - Hsu & Konermann Lab

Medicinal Chemist

Postdoctoral Researcher, Jain Lab

Scientist, In Vivo Therapeutic Discovery - Gilbert Lab

Scientist, Therapeutic Delivery, Horns Lab

Core Laboratories

Faculty & Fellows

Infrastructure Engineer

Staff Accountant

Operations

Machine Learning Engineer

Machine Learning Research Scientist

Scientific Program Manager

Scientist, Functional Genomics

Scientist, Virtual Cell Initiative - T Cell Screening

Senior Research Associate, iPSC Differentiation and Genetic Screening

Senior Research Associate, Molecular Engineering

Senior Scientist, Bioinformatics

Senior Scientist, Stem Cell-Based Alzheimer's Disease Modeling

Technology Centers

No Department

&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;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;We are seeking an Infrastructure Engineer to join our team. In this role, you will be responsible for designing and optimizing our Hybrid Cloud Infrastructure Platform across public, private, and on-premise datacenters. You will work closely with researchers, developers, and IT professionals to ensure the availability, reliability, and performance of our compute, networking, and storage. Your work will fuel the development of AI biological foundation models (i.e. &lt;a href=&quot;https://arcinstitute.org/news/blog/evo2&quot;&gt;Evo&lt;/a&gt;; Arc’s recently expanded DNA foundation model), the Virtual Cell Initiative, and other cutting-edge bioinformatic projects in the context of Institute-wide efforts.&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;&lt;strong&gt;You lead with empathy&lt;/strong&gt;. You know that successful systems are more about the user than the tool. You enjoy building relationships and credibility with your colleagues.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;You enjoy solving problems.&lt;/strong&gt; Any new project is an interesting puzzle. So is a tricky troubleshooting issue. You get satisfaction from helping someone get to resolution.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;You’re curious.&lt;/strong&gt; You like to keep track of the latest developments in your field, and to learn about the substance behind your employer’s mission.&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;Oversee the operation and optimization of our private cloud GPU cluster, focusing on enhancing availability, performance, and user experience.&lt;/li&gt;
&lt;li&gt;Design and execute strategies for automating system configurations efficiently and safely, ensuring minimal disruption to production.&lt;/li&gt;
&lt;li&gt;Develop a unified compute capacity platform with fixed and autoscaling resources across private and public cloud resources.&lt;/li&gt;
&lt;li&gt;Facilitate efficient, high-throughput, and seamless data transfer between instruments and compute environments.&lt;/li&gt;
&lt;li&gt;Enable the continuous integration and deployment of long-running services and databases across our hybrid platform.&lt;/li&gt;
&lt;li&gt;Elevate system reliability by achieving additional “nines” of availability.&lt;/li&gt;
&lt;li&gt;Develop and maintain comprehensive security protocols, including network security measures, access controls, vulnerability assessments, and continuous monitoring, to protect infrastructure and data from potential threats and breaches.&lt;/li&gt;
&lt;li&gt;Collaborate with scientists to assess their computational requirements and deliver tailored resources and support.&lt;/li&gt;
&lt;li&gt;Create and maintain comprehensive documentation for system configurations, operational procedures, security policies, and end-user guidance through a well-organized Wiki.&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;Bachelor&#39;s degree in Computer Science, Information Technology, or a related field.&lt;/li&gt;
&lt;li&gt;Extensive experience with distributed systems, including cloud platforms (AWS, GCP, or Azure) and/or HPC environments (Slurm, Kubernetes, Grid Engine, Torque, etc.).&lt;/li&gt;
&lt;li&gt;Advanced Linux system administration skills, including performance tuning and troubleshooting&lt;/li&gt;
&lt;li&gt;Proficiency in bare-metal system provisioning (Ansible, Puppet, Chef, Virtualization and/or Containerization).&lt;/li&gt;
&lt;li&gt;Proven ability in scripting languages like Python, Bash, or Perl.&lt;/li&gt;
&lt;li&gt;Familiarity with network protocols, storage systems, and high-speed interconnects (InfiniBand, RoCE).&lt;/li&gt;
&lt;li&gt;Working knowledge with monitoring tools like Nagios, Prometheus/Grafana, or New Relic.&lt;/li&gt;
&lt;li&gt;Experience developing and maintaining software that interacts with Nvidia GPUs, including drivers and diagnostic tools (CUDA, nvcc, nccl, etc.).&lt;/li&gt;
&lt;li&gt;Strong understanding of security best practices with hands-on experience in implementing and maintaining security measures.&lt;/li&gt;
&lt;li&gt;Excellent problem-solving skills and the ability to work under pressure.&lt;/li&gt;
&lt;li&gt;Strong communication and collaboration skills.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;The base salary range for this position is $149,500-$184,000. 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;

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 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 searching for an experienced and collaborative machine learning research engineer focused on advancing the frontiers of&amp;nbsp; 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 focused 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;ul&gt;
&lt;li&gt;You are an innovative machine learning engineer with a deep understanding of ML principles, enabling you to design, modify, and critically evaluate model architectures, not just apply existing ones. You have significant experience in training large deep learning models.&lt;/li&gt;
&lt;li&gt;You enjoy thinking from first principles, seeking to deeply understand the data and its underlying dynamics to drive effective and innovative modeling strategies.&lt;/li&gt;
&lt;li&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;/li&gt;
&lt;li&gt;You are a strong communicator, capable of translating complex technical concepts to researchers outside of your domain.&lt;/li&gt;
&lt;li&gt;You are a continuous learner and are enthusiastic about developing and evaluating a model that impacts many biological disciplines.&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;Actively participate in the design, implementation, and refinement 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;/li&gt;
&lt;li&gt;Engineer large-scale distributed model pretraining and pipelines for efficient model inference.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Enable robust systematic evaluation of trained models.&lt;/li&gt;
&lt;li&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;/li&gt;
&lt;li&gt;Work with experimental biologists to ensure that the developed models are grounded in biologically meaningful problems and evaluations.&lt;/li&gt;
&lt;li&gt;Publish findings through journal publications, white papers, and presentations (both internal to Arc and external).&lt;/li&gt;
&lt;li&gt;Foster internal and external collaborations centered on generative design of biological systems at Arc Institute.&lt;/li&gt;
&lt;li&gt;Commit to a collaborative and inclusive team environment, sharing expertise and mentoring others.&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;B.S, MS or PhD in Computer Science, Machine Learning or a related field.&lt;/li&gt;
&lt;li&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;/li&gt;
&lt;li&gt;Well-versed in machine learning frameworks such as PyTorch or JAX.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;&amp;nbsp;Experience with developing distributed training tools such as FSDP, DeepSpeed, or Megatron-LM.&lt;/li&gt;
&lt;li&gt;Excellent communication skills, both written and verbal, with a strong track record of presentations and publications.&lt;/li&gt;
&lt;li&gt;Ability to communicate and collaborate successfully with biologists and software/infrastructure 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;The base salary range for this position is $168,000-$242,500. 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 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 $168,000-$207,500. 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 $128,250-$157,500. 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;About Arc Institute&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;Arc Institute seeks a highly skilled and motivated Medicinal Chemist to join a collaborative team working across multiple laboratories. The successful candidate will leverage their expertise in medicinal chemistry to design and perform drug screens, conduct Structure-Activity Relationship (SAR) studies, optimize existing therapeutic compounds, and provide essential synthesis and chemical design expertise. This position offers the opportunity to collaborate with leading researchers in multiple disease areas, contributing to innovative therapeutic discoveries.&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;Design and implement drug screening assays for multiple therapeutic targets.&lt;/li&gt;
&lt;li&gt;Maintain and run high-throughput screening mass spectrometry instrument&lt;/li&gt;
&lt;li&gt;Perform/guide chemical synthesis and optimization of bioactive compounds.&lt;/li&gt;
&lt;li&gt;Conduct comprehensive Structure-Activity Relationship (SAR) studies.&lt;/li&gt;
&lt;li&gt;Modify and improve existing drug candidates to enhance therapeutic potential, stability, and bioavailability.&lt;/li&gt;
&lt;li&gt;Collaborate closely with interdisciplinary teams to facilitate drug discovery efforts.&lt;/li&gt;
&lt;li&gt;Provide chemical design expertise and strategic insight to support ongoing projects across Arc Institute labs.&lt;/li&gt;
&lt;li&gt;Maintain accurate experimental records, analyze data, and communicate findings clearly within teams and through presentations/publications.&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 Medicinal Chemistry, Organic Chemistry, or related field.&lt;/li&gt;
&lt;li&gt;Proven expertise and hands-on experience in drug discovery, chemical synthesis, and medicinal chemistry.&lt;/li&gt;
&lt;li&gt;Extensive experience in SAR studies, drug screening design, and compound optimization.&lt;/li&gt;
&lt;li&gt;Demonstrated ability to modify and optimize existing therapeutic compounds.&lt;/li&gt;
&lt;li&gt;Strong understanding of drug-like properties, pharmacokinetics, and ADMET optimization.&lt;/li&gt;
&lt;li&gt;Excellent organizational skills and the ability to manage multiple projects simultaneously.&lt;/li&gt;
&lt;li&gt;Strong interpersonal and collaborative skills essential for working in multi-laboratory environments.&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;Postdoctoral or industry experience in pharmaceutical drug discovery programs.&lt;/li&gt;
&lt;li&gt;Experience with computational chemistry and modeling software.&lt;/li&gt;
&lt;li&gt;Proven track record of publication in medicinal chemistry or drug discovery.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $121,250-$150,000. 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;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 Scientific Program Manager to drive and coordinate strategic research initiatives across Arc Institute. This role will be instrumental in orchestrating complex, multi-disciplinary projects that span our Technology Centers encompassing cellular models, mammalian models, genome engineering, multi-omics, computational biology, and machine learning. The ideal candidate will bring deep technical understanding of biological research combined with exceptional program management skills to help translate ambitious scientific goals into well-executed research programs. You will work closely with Technology Center leaders and Core Investigators to ensure effective cross-functional collaboration on institute initiatives to accelerate breakthrough discoveries in complex disease areas and cell modeling.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About You&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;You love structuring problems and solutions. &lt;/strong&gt;You take a strategic view and excel at breaking down complex research initiatives into clear workstreams and deliverables, identifying dependencies, and anticipating potential bottlenecks before anyone else&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;You’re able to find the razor&#39;s edge between formality and chaos.&lt;/strong&gt; You know that the path to the biggest discoveries are never linear. So you balance process formality with leaving space for innovation, always with an eye to delivering outstanding results&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;You are persuasive but tactful.&lt;/strong&gt; You have a presence that demands respect (including from people more senior/knowledgeable than you) yet bring tact, diplomacy, and fun to your interactions with team members&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;You’re energized by learning.&lt;/strong&gt; You’re a life long learner that loves to work at the intersection of biology and technology&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;Coordinate major research initiatives that span multiple Technology Centers, ensuring clear communication of objectives, timelines, and dependencies&lt;/li&gt;
&lt;li&gt;Facilitate regular cross-functional meetings to drive progress, remove blockers, and ensure effective resource allocation&lt;/li&gt;
&lt;li&gt;Identify opportunities for process improvement and implement solutions to increase research efficiency&lt;/li&gt;
&lt;li&gt;Track and communicate project progress to stakeholders at multiple levels, from technical teams to institute leadership&lt;/li&gt;
&lt;li&gt;Help foster a culture of innovation, excellence, collaboration, and continuous improvement&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;Masters or PhD degree in Life Sciences or related field and 5+ years of industry experience in program management in a research or translational setting&lt;/li&gt;
&lt;li&gt;Background in one or more relevant biology areas (genome engineering, multi-omics, cellular engineering, etc).&lt;/li&gt;
&lt;li&gt;Strong track record of successfully managing complex projects in research environments, balancing competing priorities while maintaining focus on key long-term strategic objectives&lt;/li&gt;
&lt;li&gt;Track record of designing and implementing successful project tracking systems that work well for scientific research&lt;/li&gt;
&lt;li&gt;Excellent communication skills and are comfortable regularly engaging with a broad range of research scientists, experimentalists, and senior management&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $166,500 - $205,000. 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 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 Scientist with a strong background in functional genomics and single cell sequencing to join the Functional Genomics team inside the Genome Engineering Technology Center at the Arc Institute. This position will primarily involve applying cutting-edge functional genomics approaches for high-throughput interrogation of mammalian genomes, transcriptomes and epigenomes with rich multi-omic readouts. You will play a critical role in driving the Virtual Cell Initiative, which aims to create the first foundational model that makes accurate predictions of cellular states and their response to intervention. You will have the opportunity to work closely with other Scientists and Research Associates in Arc’s Technology Centers as well as pioneering Core Investigator labs that have developed the fundamental toolbox for genome engineering and functional genomics screens, such as CRISPR nucleases, CRISPRi, CRISPRoff, CRISPRa, and serine or bridge recombinases.&lt;/p&gt;
&lt;p&gt;The successful candidate will work with other scientists in the team to develop and optimize groundbreaking functional genomics technologies at Arc, and lead efforts to apply these technologies to generate large-scale in vitro perturbation datasets across diverse cell types. Efforts will be focused on stem cells and other differentiated cell types. The candidate will also collaborate cross-functionally with other members of Arc’s Tech Centers in a dynamic environment to drive innovative scientific discoveries and achieve Arc’s overarching goals.&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 questions related to cellular identity and states, immunology, neurobiology 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 are committed to generating high quality data and maintaining good documentation practices.&lt;/li&gt;
&lt;li&gt;You enjoy working collaboratively with others and thrive in a fast-paced, dynamic work environment.&lt;/li&gt;
&lt;li&gt;You are diligent, detail oriented, and excels at troubleshooting.&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;/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;Independently execute large &lt;em&gt;in vitro&lt;/em&gt; perturbation screens in diverse cell types, generate high quality single-cell perturbation datasets, and collaborate cross-functionally to analyze and interpret research findings.&lt;/li&gt;
&lt;li&gt;Work with our interdisciplinary teams to further optimize functional genomics platforms and CRISPR technologies.&lt;/li&gt;
&lt;li&gt;Interact cross-functionally with computational and machine learning teams to devise strategies to train and evaluate applications of an AI virtual cell model.&lt;/li&gt;
&lt;li&gt;Utilize project management systems to track progress and adhere to timelines, and document experimental data on ELN/LIMS in an organized manner.&lt;/li&gt;
&lt;li&gt;Embrace the opportunity to creatively collaborate with Core Investigators on ad hoc early research projects and with other Technology Centers to push our Virtual Cell Atlas and Alzheimer Disease Initiatives.&lt;/li&gt;
&lt;li&gt;Stay updated on advancements in the field of functional genomics and single cell omics by reading the literature and attending key Conferences.&lt;/li&gt;
&lt;li&gt;Present key research findings at internal meetings and seminars, and external 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 biology, Molecular Biology, Medicine, Genomics, or another relevant field. Post-PhD experience is a plus.&lt;/li&gt;
&lt;li&gt;Deep experience working with different CRISPR-Cas9, other genome editing or perturbation techniques in a high throughput format (e.g. pooled or large arrayed libraries).&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Experience in mammalian cell culture, and familiarity working with primary cells and/or other difficult cell models. Experience working with stem cells and differentiated cell types is a strong plus.&lt;/li&gt;
&lt;li&gt;Hands-on experience with downstream genomics protocols, especially scRNAseq.&lt;/li&gt;
&lt;li&gt;Experience with using various project management systems, ELN and LIMS (e.g. Asana, Benchling).&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;Strong project management skills with the ability to independently plan, execute, and deliver results on time.&lt;/li&gt;
&lt;li&gt;Excellent written and verbal communication skills.&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 working with stem cells (e.g. ESC, iPSC) and stem cell derived cell types.&lt;/li&gt;
&lt;li&gt;Experience with designing and cloning large pooled CRISPR sgRNA libraries.&lt;/li&gt;
&lt;li&gt;Experience in multi-color flow cytometry and FACS-based sorting.&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;Experience in molecular biology and/or protein engineering.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $121,250 to $150,000. 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;&amp;nbsp;&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 $121,250 - $150,000. 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 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, 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 $121,250 to $150,000. 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;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 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 $121,250 to $150,000. 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;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 Senior Research Associate with strong expertise in human pluripotent stem cell (hPSC) culture and differentiation to serve as a bridge between our Stem Cell Platform and the Molecular Engineering teams inside the Tech Centers. This position will focus on the reliable differentiation of defined cell types from stem cells, successful delivery and introduction of genetic perturbations, and execution of high-throughput screens in relevant brain models for our Alzheimer&#39;s disease initiative.&lt;/p&gt;
&lt;p&gt;This role will involve close collaboration with scientists from different teams to optimize and perform the delivery of gRNAs to stem cell-derived populations, functional characterization of engineered cells, their integration into 3D brain models, and the harvesting and transferring of samples for downstream readouts such as sequencing.&lt;/p&gt;
&lt;p&gt;The position requires an experienced stem cell culture specialist who excels at protocol optimization and execution, maintains meticulous attention to detail, and can effectively coordinate with multiple teams throughout the experimental workflow. This is an excellent opportunity for a motivated and curious researcher interested in helping translate genomic insights into therapeutic strategies.&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 love science and learning. Whether it’s gaining knowledge in new fields of scientific research or learning a new lab technique, you never stop being curious and routinely enjoy stepping out of your comfort zone to learn new things.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are flexible and adaptable, eager to try new ways of tackling problems beyond the approaches with which you’re familiar while also bringing energy and curiosity to the optimization of existing approaches.&lt;/li&gt;
&lt;li&gt;You have a creative and curious spirit, open and eager to try new ways of tackling problems beyond the approaches with which you’re familiar.&lt;/li&gt;
&lt;li&gt;You can work fast and are detail-oriented. 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 show initiative and can effectively work independently while also adapting well to situations where collaboration and communication with other RAs / Scientists will bring the best results.&lt;/li&gt;
&lt;li&gt;You are comfortable carrying out the routine execution of tasks while identifying opportunities to troubleshoot and improve bottlenecks.&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;&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;&lt;strong&gt;Stem Cell Expertise&lt;/strong&gt;: Lead the differentiation of human pluripotent stem cells (hPSCs) into Hematopoietic Progenitor Cells (HPCs), microglia, and other CNS-relevant cell types using established and novel protocols. Maintain high-quality stem cell cultures and ensure consistent differentiation outcomes.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Cross-Platform Collaboration&lt;/strong&gt;: Act as a technical bridge between the Stem Cell Platform and Molecular Engineering Platform teams, ensuring efficient project coordination, knowledge and sample transfer. The person in this position will work closely with Molecular Engineering scientists to optimize and execute transduction protocols for efficient gRNA delivery into stem cell-derived populations.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;3D Model Integration&lt;/strong&gt;: Collaborate with the Stem Cell Platform team to incorporate genetically modified cells into 3D brain models for disease modeling and screening applications.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Screen Execution Support&lt;/strong&gt;: Participate in all aspects of perturbation screens execution, including experiment setup, sample collection, and coordination of sample transfer to other teams for downstream analyses such as sequencing.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Functional Characterization&lt;/strong&gt;: Leverage in vitro cell-based assays (flow cytometry, imaging, immunostaining, etc.) and molecular biology techniques to characterize the functional activity of genetically perturbed cells.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Data Analysis &amp;amp; Documentation&lt;/strong&gt;: Maintain careful records in ELN and organize materials and reagents with detailed tracking in our LIMS system.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Protocol Optimization&lt;/strong&gt;: Troubleshoot and identify opportunities to improve existing protocols and platform capabilities.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Communication&lt;/strong&gt;: Analyze and present data at internal meetings and seminars.&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;BS/MS or equivalent professional experience in Biology, Biotechnology, Genetics, Cellular Biology, or relevant fields.&lt;/li&gt;
&lt;li&gt;BS degree plus&amp;nbsp; 4+ years of relevant, post-graduate experience or an MS degree plus 2-3+ years of relevant post-graduate experience.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Extensive hands-on experience with human pluripotent stem cell culture, maintenance, and differentiation, particularly toward CNS lineages. Demonstrated ability to independently maintain stem cell lines and execute complex differentiation protocols.&lt;/li&gt;
&lt;li&gt;Experience with basic in vitro cell-based assays and molecular biology techniques (Flow cytometry, IHC/ICC, imaging).&lt;/li&gt;
&lt;li&gt;Experience with lentiviral transduction.&lt;/li&gt;
&lt;li&gt;Strong organizational skills and attention to detail.&lt;/li&gt;
&lt;li&gt;Excellent oral and written communication skills.&lt;/li&gt;
&lt;li&gt;Ability to multitask while working independently and collaboratively in a multidisciplinary environment.&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 3D culture systems, organoids, or co-culture models involving CNS cell types.&lt;/li&gt;
&lt;li&gt;Familiarity with CRISPR or other genome editing or genetic perturbation techniques, with hands-on experience functionally characterizing genetically modified cells.&lt;/li&gt;
&lt;li&gt;Proficiency and experience with virus production and cell line engineering.&lt;/li&gt;
&lt;li&gt;Experience with LIMS systems, ideally Benchling.&lt;/li&gt;
&lt;li&gt;Previous experience in collaborative, multi-disciplinary research environments.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $87,500 to $107,500. 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 class=&quot;p1&quot;&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 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;&lt;strong&gt;Funding:&amp;nbsp;&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 class=&quot;li1&quot;&gt;&lt;strong&gt;Technology:&lt;/strong&gt;&amp;nbsp;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;&lt;strong&gt;Support:&lt;/strong&gt;&amp;nbsp;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;&lt;strong&gt;Culture:&lt;/strong&gt;&amp;nbsp;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 class=&quot;p1&quot;&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 Research Associate to join the Molecular Engineering team within the Genome Engineering Technology Center at Arc to support the execution of arrayed genetic perturbation screens in disease-relevant human pluripotent stem cell (hPSC)-derived cells. In this position, you will play a key role in our Molecular Engineering platform development efforts for end-to-end lentiviral gRNA delivery to differentiated cells by executing, evaluating, and optimizing protocols to efficiently deliver high levels of perturbations into cells that will be incorporated into 2D and 3D brain models by our collaborators in the Cellular Models Tech Center. Through this work, you will play a critical role in the Institute&#39;s Alzheimer&#39;s Disease Initiative, an ambitious cross-functional effort aimed at identifying and developing drugs for rational therapeutic targets to combat devastating neurodegenerative disorders.&lt;/p&gt;
&lt;p&gt;The ideal candidate will have experience and proficient skills in stem cell culture and functional characterization of engineered cells, with expertise in implementing, running, and troubleshooting workflows with an outstanding attention to detail. This is an excellent opportunity for a highly motivated and curious researcher interested in helping translate genomic insights into therapeutic strategies by contributing to a pioneering platform that has the potential to transform our understanding and treatment of Alzheimer&#39;s disease and related disorders.&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 love science and learning. Whether it’s gaining knowledge in new fields of scientific research or learning a new lab technique, you never stop being curious and routinely enjoy stepping out of your comfort zone to learn new things.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;You are flexible and adaptable, eager to try new ways of tackling problems beyond the approaches with which you’re familiar while also bringing energy and curiosity to the optimization of existing approaches.&lt;/li&gt;
&lt;li&gt;You have a creative and curious spirit, open and eager to try new ways of tackling problems beyond the approaches with which you’re familiar.&lt;/li&gt;
&lt;li&gt;You can work fast and are detail-oriented. 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 show initiative and can effectively work independently while also adapting well to situations where collaboration and communication with other RAs / Scientists will bring the best results.&lt;/li&gt;
&lt;li&gt;You are comfortable carrying out the routine execution of tasks while identifying opportunities to troubleshoot and improve bottlenecks.&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;Execute routine stem cell culture and differentiation protocols.&lt;/li&gt;
&lt;li&gt;Conduct and optimize lentiviral transduction-based experiments to introduce arrayed genetic perturbations into engineered cell lines.&lt;/li&gt;
&lt;li&gt;Leverage in vitro cell-based assays (flow cytometry, imaging, immunostaining, etc.) and molecular biology techniques to characterize the functional activity of genetic perturbed cells.&lt;/li&gt;
&lt;li&gt;Support the cross-functional execution of arrayed genetic perturbation screens for the Alzheimer’s Disease Initiative at Arc.&lt;/li&gt;
&lt;li&gt;Have a systematic approach to the execution of tasks and experiments with a focus on efficiency and reproducibility.&lt;/li&gt;
&lt;li&gt;Maintain careful records in ELN (electronic lab notebook) and organize materials and reagents with detailed tracking in our LIMS system.&lt;/li&gt;
&lt;li&gt;Troubleshoot and identify opportunities to improve existing protocols and platform capabilities.&lt;/li&gt;
&lt;li&gt;Analyze and present data and at internal meetings and seminars.&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;BS/MS or equivalent professional experience in Biology, Biotechnology, Genetics, Cellular Biology, or relevant fields.&lt;/li&gt;
&lt;li&gt;With a BS degree, 5+ years of relevant experience or with a MS degree, 2+ years of relevant postgraduate experience. Industry experience is desirable but not required.&lt;/li&gt;
&lt;li&gt;Relevant lab experience including demonstrated and proficient skills for stem cell and progenitor cell culturing and routine characterization.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Familiarity with CRISPR-Cas9 or other genome editing or genetic perturbation techniques, with hands-on experience functionally characterizing genetically modified cells.&lt;/li&gt;
&lt;li&gt;Experience running and analyzing flow cytometry experiments, including familiarity with running multi-color panels, immunostaining experiments, and FlowJo analyses.&lt;/li&gt;
&lt;li&gt;Detail-oriented with excellent organizational and time management skills.&lt;/li&gt;
&lt;li&gt;Strong oral and written communication skills.&lt;/li&gt;
&lt;li&gt;Ability to multitask, willingness to learn, and work in a highly collaborative 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;Proficiency and experience with molecular cloning, virus production, and cell line engineering.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Experience with LIMS systems, ideally Benchling.&lt;/li&gt;
&lt;li&gt;Experience analyzing large data sets preferably using data scripting tools such as Python or R.&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;The base salary range for this position is $87,500-$107,500. 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;&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 $152,500-$190,000. 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 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 an experienced Senior Scientist to advance the mission of our Alzheimer&#39;s Disease Initiative (ADI), an institutional effort aimed at deepening our understanding of the molecular and biological processes driving Alzheimer&#39;s Disease (AD). The person in this role will contribute to the development and optimization of complex brain models including oligodendrocytes and immune-related cells generated from human pluripotent stem cells (hPSCs), while placing significant emphasis on using these advanced 3D brain models and developing relevant readouts to assess disease phenotypes. The ideal candidate will have experience in stem cell biology and neurodegenerative diseases, with demonstrated ability to work with complex cell types and leverage scientific and technical approaches to generate valuable biological and mechanistic insights into Alzheimer&#39;s disease.&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;Contribute to establishment and refinement of differentiation protocols:
&lt;ul&gt;
&lt;li&gt;Optimize protocols for differentiating hPSCs into challenging brain cell types, such as oligodendrocytes, immune-related cells such as T-cells, and/or cellular components of the blood brain barrier&lt;/li&gt;
&lt;li&gt;Apply systematic approaches to improve existing protocols&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;Establish and implement advanced in vitro brain models:
&lt;ul&gt;
&lt;li&gt;Develop and utilize 3D brain models containing multiple cell types to represent the complexity of the human brain&lt;/li&gt;
&lt;li&gt;Design and implement robust readouts to assess disease phenotypes in these models.&lt;/li&gt;
&lt;li&gt;Integrate expertise in neurodegenerative biology to enhance fidelity in Alzheimer&#39;s disease modeling&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;Generate biological and disease insights:
&lt;ul&gt;
&lt;li&gt;Use a range of assays and techniques (NGS, transcriptomics, proteomics, metabolomics) to analyze AD-relevant cell populations and disease mechanisms&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&lt;/li&gt;
&lt;/ul&gt;
&lt;/li&gt;
&lt;li&gt;Apply genome editing techniques to investigate disease mechanisms and improve model systems&lt;/li&gt;
&lt;li&gt;Collaborate on cross-functional projects, integrating in vitro brain models into broader research programs&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 in stem cell research, neurobiology, and AD research&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;Experience and strong knowledge in human pluripotent stem cell culture and differentiation protocols&lt;/li&gt;
&lt;li&gt;Background in neurodegenerative diseases, and experience working with neuronal, glial and/or immune cell types&lt;/li&gt;
&lt;li&gt;Experience with techniques and readouts to assess cellular identity, function and diseased phenotypes&lt;/li&gt;
&lt;li&gt;Demonstrated ability to implement and analyze complex cellular models in the context of disease to generate biological and mechanistic insights&lt;/li&gt;
&lt;li&gt;Excellent communication skills, both written and verbal&lt;/li&gt;
&lt;li&gt;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 developing or optimizing protocols for differentiating oligodendrocytes or other challenging brain cell types in the context of Alzheimer’s disease&lt;/li&gt;
&lt;li&gt;Experience with 3D cellular models or organoids&lt;/li&gt;
&lt;li&gt;Experience developing or building blood-brain barrier models in vitro from iPSCs&lt;/li&gt;
&lt;li&gt;Proficiency with CRISPR-Cas9 and other genome editing tools&lt;/li&gt;
&lt;li&gt;Experience with high-throughput screening methodologies&lt;/li&gt;
&lt;li&gt;A track record of publications demonstrating innovation in neurodevelopmental biology, stem cell models, and/or neurodegenerative disease research&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;The base salary range for this position is $140,000 to $172,500. 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 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 looking for a Staff Accountant who will supervise general accounting operations and control our financial transactions. Your responsibilities will also include reconciling account balances and bank statements, maintaining the general ledger, preparing month-end close procedures, and ensuring accuracy and effectiveness in all company&#39;s accounting tasks.&lt;/p&gt;
&lt;p&gt;Please note that this is a hybrid on-site position (Palo Alto, CA).&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;About you&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;We expect you to possess both excellent analytical skills and an in-depth knowledge of accounting principles&lt;/li&gt;
&lt;li&gt;Work independently and complete tasks in a timely fashion&lt;/li&gt;
&lt;li&gt;Detail oriented&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;Process invoices/payments and credit card transactions&lt;/li&gt;
&lt;li&gt;Partner with outside vendors to assure timely payment of invoices&lt;/li&gt;
&lt;li&gt;Review expense reports to ensure they comply with Arc Institute guidelines&lt;/li&gt;
&lt;li&gt;Participate in department level goal setting activities and month-end and year-end close processes&lt;/li&gt;
&lt;li&gt;Assist Accounting Manager with tax audits (both internal and external) and tax returns&lt;/li&gt;
&lt;li&gt;Support business processes and accounting policies and prepare corresponding documentation&lt;/li&gt;
&lt;li&gt;Ensure that accounting procedures comply with GAAP requirements&lt;/li&gt;
&lt;li&gt;Work with finance team to optimize financial systems and processes&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;4-7 years experience as an Accountant&lt;/li&gt;
&lt;li&gt;Extensive experience with accounting procedures&lt;/li&gt;
&lt;li&gt;Experience with general ledger functions and the month-end/year-end close process&lt;/li&gt;
&lt;li&gt;Strong knowledge of Generally Accepted Accounting Principles (GAAP)&lt;/li&gt;
&lt;li&gt;Experience with Netsuite or similar accounting software packages&lt;/li&gt;
&lt;li&gt;Strong analytical and quantitative skills with accuracy and attention to detail&lt;/li&gt;
&lt;li&gt;BS degree in Accounting, Finance or other relevant area&lt;/li&gt;
&lt;/ul&gt;
&lt;p class=&quot;p1&quot;&gt;The base salary range for this position is $84,000-$104,000. 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;

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Core Laboratories

Machine Learning Scientist - Hsu & Konermann Lab

Palo Alto, CA

Medicinal Chemist

Palo Alto, CA

Postdoctoral Researcher, Jain Lab

Palo Alto, CA

Scientist, In Vivo Therapeutic Discovery - Gilbert Lab

Palo Alto, CA

Scientist, Therapeutic Delivery, Horns Lab

Palo Alto, CA

Operations

Infrastructure Engineer

Palo Alto, CA

Staff Accountant

Palo Alto, CA

Technology Centers

Machine Learning Engineer

Palo Alto, CA

Machine Learning Research Scientist

Palo Alto, CA

Scientific Program Manager

Palo Alto, CA

Scientist, Functional Genomics

Palo Alto, CA

Scientist, Virtual Cell Initiative - T Cell Screening

Palo Alto, CA

Senior Research Associate, iPSC Differentiation and Genetic Screening

Palo Alto, CA

Senior Research Associate, Molecular Engineering

Palo Alto, CA

Senior Scientist, Bioinformatics

Palo Alto, CA

Senior Scientist, Stem Cell-Based Alzheimer's Disease Modeling

Palo Alto, CA