Research Scientist, Applied Research

The role

Research scientists will improve the real-world performance of foundation models. This involves planning data generation campaigns, designing evaluations, and formulating post-training recipes for drug discovery.

What you will do

• Plan targeted data generation campaigns
• Design evals that accurately measure model performance
• Formulate post-training recipes to make models useful for real drug discovery problems
• Work in tight loops with pre-training researchers, research engineers and science team

Required qualifications

• Strong quantitative background (CS, math, or physics), particularly in probability, statistics, and machine learning
• Deep software engineering expertise, with experience working in large codebases

Nice to have

• 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)

Benefits

• Opportunity to work at the vanguard of AI research and frontier biology
• Work with world-class people
• Culture of high velocity and ownership

About the company

Chai Discovery builds the computer-aided design suite for molecules. The company trains frontier models that learn the underlying foundations of biochemical structure and interaction.