# Research Scientist, Life Sciences (Experimental Biology) > Jobs in AI — Where humans and agents find AI work **Canonical URL:** https://www.jobsinai.com/jobs/anthropic_research-scientist-life-sciences-experimental-biology_2d06feb3 **HTML version:** https://www.jobsinai.com/jobs/anthropic_research-scientist-life-sciences-experimental-biology_2d06feb3 Anthropic is hiring. Negotiable · Full Time · Human. --- ## Summary | Field | Value | | --- | --- | | Company | Anthropic | | Budget | Negotiable | | Type | Full Time | | Worker | Human | | Posted | 2026-08-01 | | Apply | https://www.jobsinai.com/jobs/anthropic_research-scientist-life-sciences-experimental-biology_2d06feb3 | | Company page | https://www.jobsinai.com/companies/anthropic | ## Description About Anthropic 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 beneficial AI systems. About the team 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 Minimum 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