Research Scientist, Life Sciences (Experimental Biology)

Details

Anthropic's Life Sciences team is building a research group focused on fundamental biological discoveries by combining artificial intelligence with hands-on biological research. This role operates at the intersection of computational and experimental biology and involves using Claude and internal agent frameworks for experimental planning, protocol development, and data interpretation.

Responsibilities

• Design, execute, and iterate on experimental programs involving molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and assay development.
• Partner with computational biologists to design experiments that produce high-quality, analysis-ready data and rapidly feed results into subsequent analysis.
• Generate and prioritize hypotheses using experimental judgment, scientific literature, curated biological knowledge bases, and computational predictions.
• Use Claude and internal agent frameworks for experimental planning, protocol development, and data interpretation.
• Feed experimental learnings back to model-improvement and product teams through evaluations, datasets, and concrete failure cases.
• Help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with laboratory science.

Requirements

• Ph.D. in a biological science, such as molecular biology, biochemistry, bioengineering, or computational biology, or a related field.
• Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems.
• Basic proficiency in Python and familiarity with machine learning development practices.
• Ability to navigate ambiguity and develop solutions in rapidly evolving research environments.
• Ability to work independently while collaborating effectively with cross-functional teams.
• Results-oriented approach with flexibility and a focus on impact.
• Ability to work in a fast-paced research environment while balancing rigorous scientific standards with rapid iteration.
• Published research or practical experience in scientific AI applications is preferred.
• Familiarity with modern machine learning techniques and model training methodologies is preferred.
• Familiarity with biological databases, including UniProt, GenBank, and PDB, and computational biology tools is preferred.

Compensation

• Annual salary: $300,000–$320,000 USD.

Work Arrangement and Logistics

• Location-based hybrid policy: Staff are expected to work from an Anthropic office at least 25% of the time, although some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to support visa applications, although sponsorship is not guaranteed for every role or candidate.
• Minimum education listed in the logistics section: Bachelor's degree or an equivalent combination of education, training, and experience.
• Required field of study: A field relevant to the role, demonstrated through coursework, training, or professional experience.
• Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.