Research Scientist, Life Sciences (Computational)

Details

Anthropic's Life Sciences team is building a research group focused on fundamental biological discoveries by combining advanced AI with experimental biology. This role will work at the intersection of computational and experimental biology, using computational expertise and Claude to drive AI-enabled scientific discovery.

Responsibilities

• Build, run, and maintain computational analysis pipelines for experimental programs, including petabyte-scale sequence analysis, structural bioinformatics, phylogenetic and comparative genomics, high-throughput functional screens, and biological sequence modeling.
• Partner with experimental biologists to design experiments that generate high-quality data and rapidly analyze results to inform subsequent experiments.
• Use scientific literature, curated biological knowledge bases, and primary data to generate and prioritize hypotheses for experimental follow-up.
• Establish and maintain computational infrastructure, including data ingestion, workflow orchestration, internal databases, and interfaces accessible to researchers and AI agents.
• Use Claude and internal agent frameworks extensively, contributing learnings to model-improvement and product teams through evaluations, datasets, and concrete failure cases.
• Work flexibly across projects and computational biology problems as priorities evolve.

Requirements

• PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience.
• Track record of leading computational biology research end to end, from research question through results, with evidence of impact such as publications, preprints, released datasets or tools, or research that changed a program's direction.
• Demonstrated breadth across multiple areas of computational biology.
• Proficiency in one or more programming languages used in scientific computing.
• Experience working with large datasets in Linux and cloud compute environments.
• Ability to scope ambiguous biological questions and produce results that experimental scientists can act on.
• Ability to communicate computational results clearly to biologists and machine learning researchers.

Preferred Qualifications

• Comfort navigating ambiguity and developing solutions in rapidly evolving research environments.
• Results-oriented approach with flexibility and focus on impact.
• Hands-on experience in experimental biology or experience designing experiments with experimentalists.
• Experience building tools, pipelines, or agentic systems on top of large language models, or training models on biological sequence data.
• Deep expertise in one or two areas of computational biology, such as structural biology, metagenomics, single-cell genomics, or protein design.

Compensation

• Annual salary: $300,000–$320,000 USD.

Logistics and Benefits

• The role follows a location-based hybrid policy, with staff expected to work from an Anthropic office at least 25% of the time; some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to support visa applications, with assistance from an immigration lawyer.
• Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office space for collaboration.