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About the Role
As a founding member of the Life Sciences team, you will work at the intersection of computational and experimental biology. You will help establish Anthropic as a leader in biology research and develop product intuition through direct engagement with laboratory science.
Responsibilities
- Design, execute, and iterate on experimental programs including molecular biology, biochemistry, protein and nucleic acid characterization, high-throughput functional screens, and assay development.
- Partner with computational biologists to design experiments yielding high-quality, analysis-ready data and provide rapid feedback for iterative analysis.
- Generate and prioritize hypotheses by integrating experimental judgment with literature, biological knowledge bases, and computational predictions.
- Utilize Claude and internal agent frameworks for experimental planning, protocol development, and data interpretation, providing feedback to model-improvement and product teams.
Requirements
- Ph.D. in a biological science (molecular biology, biochemistry, bioengineering, computational biology) or a related field.
- Track record of bridging biological domain knowledge with computational approaches to solve scientific problems.
- Basic proficiency in Python and familiarity with ML development practices.
- Comfort navigating ambiguity and developing solutions in rapidly evolving research environments.
- Ability to work independently while maintaining strong collaboration with cross-functional teams.
- Results-oriented with a bias towards flexibility and impact.
- Thrive in a fast-paced research environment balancing 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.
Skills
- Molecular biology
- Biochemistry
- Protein characterization
- Nucleic acid characterization
- High-throughput functional screens
- Assay development
- Python
- Machine learning development practices
- Scientific AI applications
- Machine learning techniques
- Model training methodologies
- Biological databases
- Computational biology tools
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- Years of experience required will correlate with the internal job level requirements for the position
Education Level
- Ph.D. in a biological science or related field
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Salary/Compensations
- $300,000—$320,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The Life Sciences team is building a world-class research group focused on making fundamental biological discoveries, combining cutting-edge AI with hands-on biological research.
- Anthropic believes that high-impact AI research is big science, working as a single cohesive team on large-scale research efforts.
- The company values impact, advancing long-term goals of steerable, trustworthy AI, and views AI research as an empirical science.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- We encourage you to apply even if you do not believe you meet every single qualification.
- We think AI systems like the ones we're building have enormous social and ethical implications, making representation even more important, and we strive to include a range of diverse perspectives on our team.
- We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.