Applied AI Engineer - Life Sciences Impact & Flexible Hours

Neura Market

San Francisco, Northern (CA, KY)

Hybrid

USD 280,000 - 320,000

Full time

14 days+
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Benefits offered by this job

Competitive compensation
Equity donation matching
Generous vacation & parental leave
Flexible working hours
SF office

Job summary

Anthropic is seeking an Applied AI Engineer for the Beneficial Deployments team to maximize Claude’s impact in life sciences. You will partner with flagship labs, build ecosystem tooling, and advance practical, verifiable AI deployments across academia and biotech.

You’ll prototype agents, develop reusable infrastructure, and help scale research outputs into production systems that empower researchers globally.

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, 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 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 hand-holding.

Skills

Life sciences research
LLM tools
Software engineering
Ambiguity handling

Tools

MCP servers
Benchmarks
Agent skills

Job description

Anthropic is seeking an Applied AI Engineer for the Beneficial Deployments team to maximize Claude’s impact in life sciences. You will partner with flagship labs, build ecosystem tooling, and advance practical, verifiable AI deployments across academia and biotech.

You’ll prototype agents, develop reusable infrastructure, and help scale research outputs into production systems that empower researchers globally.

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