Research Scientist, Life Sciences (Experimental Biology)

The shape of it

In the posting’s own words

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.

What it asks for · 3

• 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

Also a plus

• 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

What the job covers

• 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

Degree language

• Have a Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field

Tools and skills named

Words the posting leans on

• research9×
• biological8×
• biology6×
• computational6×
• scientific5×
• development4×
• experimental4×
• science4×
• back2×
• biological discoveries2×
• biological research2×
• biology biochemistry2×
• computational biology2×
• data2×
• design2×
• developing2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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