AI-Driven Computational Life Sciences Scientist

anthropic; San Francisco (CA); Hybrid; USD 263,000 - 357,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Anthropic is expanding its Life Sciences team, merging computational biology with frontier AI capabilities to advance AI-driven biological discovery. As an early computational member, you will design analyses across large datasets, build pipelines, and collaborate with experimentalists, all while leveraging Claude to inform model improvement and product teams.

The role emphasizes breadth and impact, offering opportunities to shape AI applications in biomedicine and participate in cutting-edge

Qualifications

• PhD in computational biology or related field required.
• Experience leading end-to-end computational biology research with measurable impact.
• Breadth across multiple areas of computational biology is valued.
• Proficiency in one or more scientific programming languages and large dataset handling in Linux/cloud environments.
• Ability to scope ambiguous biological questions and deliver actionable results for experiments.

Responsibilities

• Build, run, and maintain computational pipelines for large-scale biology projects.
• Collaborate with experimental biologists to plan and interpret experiments.
• Develop hypotheses from literature and data to guide experiments.
• Maintain computational infrastructure and data interfaces for researchers and AI agents.
• Utilize Claude and internal frameworks to evaluate model performance and provide findings to teams.
• Balance breadth across projects with flexible prioritization.
• Communicate results clearly to biologists and ML researchers.

Skills

PhD in computational biology

Computational biology research

Python

Data analysis

Biology collaboration

Education

Bachelor's degree

PhD in relevant field

Job description

Anthropic is expanding its Life Sciences team, merging computational biology with frontier AI capabilities to advance AI-driven biological discovery. As an early computational member, you will design analyses across large datasets, build pipelines, and collaborate with experimentalists, all while leveraging Claude to inform model improvement and product teams.

The role emphasizes breadth and impact, offering opportunities to shape AI applications in biomedicine and participate in cutting-edge