Research Scientist, Life Sciences

Job summary

Responsibilities

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build…

• Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature…
• 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

What they're looking for

• 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…
• 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

Tech stack

• Python