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Job Summary:
Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. They are seeking an exceptional Research Scientist to join their Life Sciences team, where the role involves improving AI model capabilities in scientific tasks and translating biological knowledge into actionable objectives.
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:
Required:
• 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
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Preferred:
• 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
• Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience
• Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
• Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis
• Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)
• 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 (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes
Company:
Anthropic is an artificial intelligence company that develops large language models and AI systems for business and research use. Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.