Founding Research Scientist on Anthropic's Life Sciences team, designing and executing wet-lab experiments in molecular biology and biochemistry. Partners with computational biologists and uses Claude AI for hypothesis generation, experimental planning, and rapid iteration to drive AI-accelerated biological discoveries.
300k – 320k
HybridAI Research
About the role
Key Responsibilities
Design, execute, and iterate on experimental programs in 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 enable rapid iteration.
Generate and prioritize hypotheses by combining experimental judgment with literature, biological knowledge bases, and computational predictions.
Use Claude and internal agent frameworks for experimental planning, protocol development, data interpretation; provide feedback as evaluations, datasets, and failure cases to model-improvement and product teams.
Minimum Qualifications
Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or related field.
Track record of bridging biological domain knowledge with computational approaches to solve real scientific problems.
Basic proficiency in Python and familiarity with ML development practices.
Preferred Qualifications
Comfort navigating ambiguity and developing solutions in rapidly evolving research environments.
Ability to work independently while collaborating with cross-functional teams.
Results-oriented with bias towards flexibility and impact.
Thrive in fast-paced research balancing rigorous 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.
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