Applied AI Engineer, Beneficial Deployments (Life Sciences)

Anthropic · San Francisco, CA | New York City, NY · Applied AI · listed September 29, 2026

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The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$280,000 – $320,000 USD
Requirements listed
2
Length
1,309 words

In the posting’s own words

We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines — and building the technical infrastructure to back that up.

What it asks for · 2

  • 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.

What the job covers

  • 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.

Tools and skills named

Models & research
  • LLM2×
  • Prompt engineering2×
Ways of working
  • Technical writing2×
Product & design
  • Prototyping

Words the posting leans on

  • engineer10×
  • life sciences10×
  • research10×
  • technical9×
  • building7×
  • agent6×
  • engineering6×
  • experience6×
  • institutions6×
  • partners6×
  • production6×
  • scientific6×
  • comfortable4×
  • data4×
  • deeply4×
  • engineer technical4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 29, 2026 and last changed by Anthropic on September 29, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.