Research Scientist, Life Sciences

The role

You will improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development. You will build agentic tools, design evaluation benchmarks, and translate biological domain knowledge into product requirements.

What you will do

• Build and ship agentic tools and integrations for life science workflows
• Design and build evaluation benchmarks for biology tasks
• Work with product and design teams to scope and ship features
• Partner with external biotech, pharma, and academic users
• Build and maintain engineering infrastructure for biology product surface
• Translate biological domain knowledge into product requirements and evaluation criteria

Required qualifications

• Experience applying ML and software engineering to biological problems
• Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting
• Strong software engineering skills in production-quality Python
• Hands-on experience training or fine-tuning ML models
• A track record of shipping computational tools or pipelines that biologists use
• Ability to work independently while collaborating with research, product, and domain-expert teams
• Bachelor's degree or an equivalent combination of education, training, and/or experience
• Field of study relevant to the role

Nice to have

• 5+ years of experience applying ML and software engineering to biological problems
• Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field
• Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
• Direct experience with therapeutic discovery pipelines
• Familiarity with bioinformatics tooling and pipelines
• Experience building agentic systems or tool-use environments
• Published research in ML for biology, or open-source contributions to computational biology tools
• Fluency with biological databases

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.