Anthropic · San Francisco · Hybrid

Research Scientist, Life Sciences (Experimental Biology)

7/9/2026

Description

Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery.

About the role

We're seeking an exceptional Research Scientist to join the team. As a founding member of Life Sciences, you'll work in a high-impact group that operates at the intersection of computational and experimental biology. You'll help establish Anthropic as a leader in biology research while developing product intuition through direct engagement with the challenges and opportunities of laboratory science.

Key responsibilities

  • Design, execute, and iterate on the experimental programs at the core of the team's research: molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and the assay development that makes new questions answerable
  • Partner directly with computational biologists to design experiments that produce high-quality, analysis-ready data, and feed results back fast enough to immediately inform the next round of analysis
  • Generate and prioritize hypotheses by combining your experimental judgment with the literature, curated biological knowledge bases, and the team's computational predictions
  • Use Claude and our internal agent frameworks heavily in your own work — for experimental planning, protocol development, and data interpretation — and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases

Qualifications

  • Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field
  • Have a track record of bridging biological domain knowledge with computational approaches to solve real scientific problems
  • Have basic proficiency in Python and are familiar with ML development practices

Nice to have

  • Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments
  • Can work independently while maintaining strong collaboration with cross-functional teams
  • Are results-oriented, with a bias towards flexibility and impact
  • Thrive in a fast-paced research environment where you balance rigorous scientific standards with rapid iteration
  • Published research or practical experience in scientific AI applications
  • Familiarity with modern machine learning techniques and model training methodologies
  • Familiarity with biological databases (UniProt, GenBank, PDB) and computational biology tools

Benefits

USD 300000-320000

Application

View listing at origin and apply!

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