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Applied AI Engineer, Beneficial Deployments (Life Sciences)

Anthropic· Applied AI
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$280k - $320kFull-timePosted 3w ago

About the role

Applied AI Engineer focused on maximizing Claude's impact in life sciences by embedding into academic and industry research workflows and building ecosystem-level tooling to accelerate translation from discovery to production.

Responsibilities

  • Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.
  • Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.
  • Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.
  • Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

Qualifications

  • 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.
  • Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.
  • Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.
  • Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.
  • A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

Skills

Required:Software engineeringLife sciences / biomedical research knowledgeLLM-powered tools / applications

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space
Last updated Sep 30, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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