# Research Scientist, Life Sciences

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA
**Role:** AI Research
**Salary:** $300k – $320k/yr
**Skills:** computational biology, bioinformatics, genomics, structural bioinformatics, phylogenetic analysis, comparative genomics, biological sequence modeling, Python, Linux, cloud computing, LLMs, Claude, Machine Learning
**Posted:** 2026-07-16

> Research Scientist driving fundamental biological discoveries by building large-scale computational analysis pipelines, partnering with experimental biologists on hypothesis-driven research, and leveraging frontier AI models like Claude on petabyte-scale biological data. Requires PhD and end-to-end computational biology research track record with demonstrated breadth.

## Job Description

## Key Responsibilities
- Build, run, and maintain analysis pipelines for experimental programs including sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, and biological sequence modeling.
- Partner directly with experimental biologists to design experiments that produce high-quality data and rapidly turn results around to inform the next experiment.
- Draw on scientific literature, curated biological knowledge bases, and primary data to generate and prioritize hypotheses for experimental follow-up.
- Stand up and maintain the team's computational infrastructure including data ingestion, workflow orchestration, internal databases, and interfaces accessible to researchers and AI agents.
- Use Claude and internal agent frameworks heavily in daily work, feeding learnings back to model-improvement and product teams as evaluations, datasets, and failure cases.
- Flexibly pick up analyses across projects as priorities shift, emphasizing breadth over a single deep specialty.

## Minimum Qualifications
- 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 end-to-end computational biology research from question to result, with evidence of impact (e.g., publications, preprints, released datasets/tools, or research that changed a program's direction).
- Demonstrated breadth across multiple areas of computational biology.
- Proficient in one or more scientific computing programming languages; comfortable working on large datasets in Linux and cloud environments.
- Ability to take an ambiguous biological question, scope the analysis, and produce actionable results for experimentalists.
- Strong communication skills for conveying computational results to both biologists and ML researchers.

## Preferred Qualifications
- Comfort 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 track record of designing experiments alongside 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 (e.g., structural biology, metagenomics, single-cell genomics, or protein design) on top of required breadth.

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