Research Scientist, Life Sciences (Computational Chemistry)

Job summary

Responsibilities

Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team.

• Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data…
• Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners
• Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design…
• Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next
• Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes

What they're looking for

• PhD in chemistry, computational chemistry, or a related field
• Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth
• Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models
• Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
• Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills

Tech stack

• Python