Research Scientist, Life Sciences
Anthropic· AI Research & Engineering
San Francisco, CA$300k - $320kFull-timePosted 4mo ago
About the role
Research Scientist role on Anthropic's Life Sciences team focused on applying ML and software engineering to biology to advance Claude as a superhuman life sciences research assistant.
Responsibilities
- Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review
- Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis
- Work closely with product and design teams to scope, prototype, and ship features for life sciences users
- Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements
- Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses
- Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement
Qualifications
- Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
- Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down
- Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end
- Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)
- A track record of shipping computational tools or pipelines that biologists actually use
- Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
- Able to work independently while collaborating tightly with research, product, and domain-expert teams
- Results-oriented with a bias toward rapid iteration and measurable impact
- Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Skills
Required:Agentic tool developmentEvaluation designBioinformatics pipelinesPython software engineeringML model training/fine-tuningCollaboration with product/domain experts
Benefits
- Competitive compensation and benefits
- optional equity donation matching
- generous vacation and parental leave
- flexible working hours
- lovely office space
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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