300K–320K USD / year
Senior Engineer, Bioinformatics
DataHybrid — San Francisco, CA
Published on 2026-10-29
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About this role
Build and maintain trusted biology software for Anthropic scientists and the wider research community. You’ll turn research code into validated, documented public tools and help shape the team’s software direction, using AI coding agents as a core part of your workflow.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
Life Sciences team
Stack
PythonLinuxClaudeAI coding agents
What you'll do
- Build and maintain genomics and structural biology software, including libraries, tools, pipelines, datasets, and benchmarks.
- Own testing, validation, benchmarking, documentation, packaging, and release readiness.
- Maintain public releases by triaging issues, reviewing contributions, and managing breaking changes.
- Represent the team at conferences, workshops, and in collaboration with researchers and maintainers.
- Partner with computational and experimental scientists to make research code reusable.
- Set technical direction, review code, mentor contributors, and potentially lead a small team.
- Use AI coding agents and establish practices for validating agent-written code.
What we're looking for
- Evidence of building, releasing, and maintaining biology software adopted by researchers outside your group.
- Deep working expertise in genomics or structural biology, including relevant data types, formats, tools, and failure modes.
- Proficiency in Python and experience with large datasets in Linux and cloud or cluster environments.
- Strong testing and release engineering practices, including CI, reference-data validation, packaging, and versioning.
- Regular use of AI coding tools and ability to verify code correctness and performance.
- Experience leading a multi-contributor technical project while continuing to write code.
- Clear written and spoken communication with biologists and engineers.
Nice to have
- Expertise in both genomics and structural biology.
- Creator or core maintainer of a widely used open-source computational biology tool.
- Formal team leadership experience.
- Graduate degree in computational biology, bioinformatics, computer science, or a related field, or equivalent experience.
- Proficiency in Rust, C++, or C, and experience optimizing performance on large biological datasets.
- Experience in other computational biology fields, such as phylogenetics, proteomics, cheminformatics, or high-throughput screen analysis.
- Experience shipping AI-agent-built software, building LLM-based agentic systems, or training ML models on biological sequence or structure data.
Benefits
- Flexible working hours
- Generous vacation and parental leave
- Optional equity donation matching