Manager, Applied AI Engineering, Beneficial Deployments (Life Sciences) at Anthropic

On-site - San Francisco, CA

Apply
More jobs at Anthropic

As the Applied AI Engineering Manager for Life Sciences, you will lead a team of engineers to design, build, and deploy AI tools that enable Claude to work effectively with biological data across the life science pipeline. The role blends leadership, hands‑on engineering, and cross‑functional collaboration to deliver reliable, reproducible, and auditable solutions for scientific research and regulatory workflows.

Salary

USD 320,000 - 405,000

Requirements

Skills

  • Led or technically mentored software/ML engineers, ideally in a forward-deployed, solutions, or customer-facing engineering setting
  • Background in pharma, biotech, computational biology, bioinformatics, or clinical/regulatory affairs
  • Strong hands‑on engineering background and comfortable reading and writing production code
  • Delivered technical work directly with external customers or partners and can communicate credibly with both technical experts and executives
  • Built on top of large language models or agents
  • Energetic about an unfamiliar technical domain and has a track record of going deep fast
  • High bar for reliability and reproducibility, and understands why a plausible‑looking answer that is subtly wrong can be worse than no answer in scientific work
  • Built tooling, data infrastructure, evals, or agent harnesses that turn messy real‑world data into something usable and trustworthy, especially in a scientific or research setting
  • Deeply cares about the safe and beneficial deployment of AI, especially in sensitive domains

Responsibilities

  • Build and lead the team: hire, coach, and develop a team of Applied AI Engineers dedicated to strategic life sciences partners, setting a high technical bar and helping each engineer grow
  • Own technical success with partners: be accountable for the technical outcomes of our strategic pharma and biotech deployments, from first scoping conversation through production
  • Stay hands‑on: review and contribute to prototypes, MCP integrations, agentic workflows, and Claude Code for Bio solutions; help the team get unblocked on the hardest technical problems
  • Build agent‑ready scientific infrastructure: guide the team in creating deterministic tools, connectors/harnesses, and evaluations that make messy biological data and workflows reliably accessible to Claude in partnership with scientists and research institutions
  • Translate the field into the roadmap: partner cross‑functionally to turn what you learn from deployments into improvements in Anthropic's life sciences products and models
  • Set the standard for responsible deployment: work alongside our safety teams to enable beneficial scientific work while guarding against misuse in a dual‑use domain
  • Build for the frontier: use deep knowledge of frontier model intelligence coupled to your work in R&D and research to rapidly progress toward solutions to meaningful problems in life sciences

Technologies

Large Language ModelsAgentsClaudeMCP integrationsScientific computing pipelinesTooling and data infrastructure

Share job

See if your resume is ready for this job

See how our AI can optimize your resume and improve your chances for this role.