Research Scientist, Applied Research
Chai Discovery · San Francisco office
Bio & Science AIonsite
At a glance
Highlights
- Improve real-world performance of foundation models for drug discovery.
- Ship research fast to real therapeutic programs across industry.
- Build CAD suite for molecules used by top pharma companies.
What they offer
- Work at the vanguard of AI research and frontier biology with world-class people
- High-velocity, ownership-driven culture on a mission that matters
Ideal candidate
Quantitatively strong researcher who loves messy biology and favors simple, robust methods. Excited to iterate fast with interdisciplinary teams to make models useful for real medicines.
Requirements
- Technical depth paired with interest in underlying biology
- Published research in machine learning for protein, antibody, or small-molecule modelling
- Fluency in protein language, structure prediction, and design models
- Strong quantitative background with focus on probability, statistics, and machine learning
- Deep software engineering expertise with experience in large codebases
Lab profile
About Chai Discovery
Builds an AI computer-aided design suite for molecules.
What they build
- Computer-aided molecular design suite
- AI biologics design tools
- Antibody design platform
Known for
- Molecular pre-training research
- Antibody engineering
- Pharma deployment
Key facts
- Collaborations with Eli Lilly, GSK and Pfizer
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