The Opportunity
Arc Institute is a full stack AI and biology research institute where frontier ML models and large-scale experimental data generation evolve together in a continuous loop, at scale. As CTO, you will steer our technical strategy, pushing that loop to 1 billion single-cell experiments, training groundbreaking new AI models of the cell, and releasing our models to accelerate discovery for the broader scientific community. You will lead Arc’s Computational Technology Center (CTC), integrating ML research, bioinformatics, and software development while managing strategic partnerships for high-scale compute and joint software development with industry leaders.
We’d like to thank Dave Burke, our current CTO for his many contributions to Arc Institute. Dave is moving to an advisor role at Arc in order to spend time with his family.
Why this could be the most important job you’ve had
- Join a new type of research organization that brings the velocity of a startup together with the intellectual depth of a world-class academic institution.
- Co-create a unified “active learning” ecosystem where frontier ML and large-scale experimental data generation evolve together in a continuous loop and at scale.
- Lead high-stakes research with a long runway to solve fundamental biological challenges that have remained out of reach for decades and that are only possible now.
- Collaborate as a scientific peer with world leaders in genome engineering, single cell sequencing technology, neurodegeneration, and more to bridge the gap between AI and physical discovery.
- Influence the creation of future translational spin-outs, helping move shared discoveries from the lab into the clinic.
- We publish our breakthroughs to widely accelerate scientific progress and partner with some of the biggest names in AI.
About you
Scientifically Insatiable: You are genuinely obsessed with the frontier of ML and regularly digest leading papers to identify the next breakthrough for the institute.
Hands-On: You are a builder and operator at heart. While you steer the strategy, you aren’t afraid to dive into the code or the data to unblock a team or prototype a new approach.
Execution focused: You have led ML teams end-to-end, and you are goal and timeline-driven to deliver compounding scientific results against an ambitious technical roadmap.
Mission-Driven Curiosity: You are fascinated by the “code of life” and motivated to solve the complex puzzles in human health. You may be relatively new to biology but possess the drive and curiosity to learn quickly.
Learn More
About Arc Institute
Arc is a nonprofit research institute focused on accelerating scientific progress on complex human diseases. We operate at the unique interface of biology and computation, tackling thorny biomedical challenges that require long-term, ambitious, and collaborative research agendas—challenges too complex for any single lab to tackle alone.
Our Institute Initiatives
Alzheimer’s is a textbook example of a complex disease. Current data suggests that hundreds of genes may be implicated, together with multiple brain-cell types and cell-to-cell interactions. Combining functional genomics with advanced cellular and NHP models, we are attacking this problem in a novel and systematic way, integrating all available clues from genetics and observational data from patients.
Building on the foundation of Evo2, Arc’s virtual cell model – built in close collaboration between experimental and machine learning scientists – aims to accurately simulate and predict how any healthy or diseased cell responds to different changes in their genes or their environment.
Both initiatives advance our overall vision of building a general platform for understanding how cells respond to disease with the overall goal to advance mechanistic understanding, target identification and treatments for complex disease.
Our Technology Centers
Our five Technology Centers – Genome Engineering, Cellular modeling, Multiomics, in vivo modeling and ML/Computation – are the engine of innovation at Arc, staffed with professional R&D scientists working across emerging technologies and biology to advance our Institute Initiatives.
Cellular Models
Computational
Genome Engineering
Mammalian Models
