Chai Discovery
Research Scientist, Applied Research
- Location
- San Francisco, CA, US
- Employment type
- Full-time
- Posted
- 4 November 2026 (11 days ago)
Checked 11 days agoApplications go to the employer, never to RoleSprint
About this role
ABOUT CHAI DISCOVERY
Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly https://endpoints.news/eli-lilly-chai-discovery-sign-ai-software-deal/, GSK https://endpoints.news/chai-discovery-signs-gsk-deal-to-make-biologics-with-ai/, Pfizer https://www.forbes.com/sites/amyfeldman/2026/06/04/why-pfizer-and-eli-lilly-are-betting-on-this-13-billion-ai-drug-discovery-startup/, Bristol Myers Squibb https://www.linkedin.com/feed/update/urn:li:activity:7496300911523246080/, argenx https://x.com/chaidiscovery/status/2077422480617267230?s=20 and Novartis https://www.chaidiscovery.com/news/novartis-partnership all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.
We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.
We value diverse perspectives and are ready to find greatness in unexpected places.
ABOUT THE ROLE
We are hiring research scientists to improve the real-world performance of our foundation models. The work involves planning targeted data generation campaigns, designing evals that accurately measure model performance, and formulating post-training recipes aimed at making models useful for real drug discovery problems.
We prioritize simple, robust methods over intricate solutions built for narrow problems. We particularly value researchers who can formalize messy biological problems using methods from other fields.
You will work in tight loops with our pre-training researchers, research engineers and science team. Your work will ship fast and you'll see your results reach real therapeutic programs across industry.
ABOUT YOU
We look for technical depth paired with interest in the underlying biology. Biological background is not required. All of the following are positive signals:
- Published research in machine learning for protein, antibody, or small-molecule modelling.
- Fluency in the technical details of protein language, structure prediction, and design models (AlphaFold, RFDiffusion, ProteinMPNN, ESM, etc).
- Strong quantitative background (CS, math, or physics), particularly in probability, statistics, and machine learning.
- Deep software engineering expertise, with experience working in large codebases.
We are happy to bet on rising talent.
WE OFFER
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.
Work location
- San Francisco, CA, US
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About this listing
Published on Ashby under the board identifier Chaidiscovery, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 4 November 2026, last checked 11 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.