Research Scientist, Life Sciences (Computational)
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What the team is looking for.
Job Overview
We're seeking an exceptional Research Scientist to join Anthropic's Life Sciences team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery.
Key Responsibilities
- Build, run, and maintain analysis pipelines for large-scale biological data analysis, including sequence analysis, structural bioinformatics, and phylogenetic genomics.
- Collaborate with experimental biologists to design experiments, analyze data, and inform next steps.
- Develop and prioritize hypotheses for experimental follow-up using literature, curated biological knowledge bases, and primary data.
- Establish and maintain the team's computational infrastructure, including data ingestion, workflow orchestration, and internal databases.
- Utilize Claude and internal agent frameworks to advance research and provide feedback to model-improvement and product teams.
- Adapt to shifting priorities and contribute across multiple projects.
Requirements
- PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related field.
- Track record of leading computational biology research projects with evidence of impact.
- Demonstrated breadth across multiple areas of computational biology.
- Proficiency in one or more programming languages used in scientific computing.
- Ability to communicate complex results to biologists and ML researchers.
Preferred Qualifications
- Comfortable navigating ambiguity and developing solutions in rapidly evolving research environments.
- Results-oriented with a bias towards flexibility and impact.
- Hands-on experience in experimental biology or designing experiments with experimentalists.
- Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data.
- Deep expertise in one or two areas of computational biology.
Logistics
- Annual salary: $300,000-$320,000 USD.
- Location-based hybrid policy: 25% office time.
- Visa sponsorship available.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Lovely office space.
- computational biology
- bioinformatics
- genomics
- biophysics
- machine learning
- computer science
- programming languages
- scientific computing
- Linux
- cloud compute environments
- experimental biology
- LLMs
- biological sequence data
- structural biology
- metagenomics
- single-cell genomics
- protein design
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