Applied AI Engineer, Beneficial Deployments (Life Sciences)

We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising 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. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows.

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, scientifically-grounded benchmarks, and agent skills that other institutions can adopt.
• Identify challenges in deploying AI in life sciences and feed findings back to product, engineering, and research.
• Create technical content and documentation for partners to self-serve.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder with production experience.
• Deep research experience in life sciences, biomedical research, or scientific computing.
• Experience building LLM-powered tools or applications.
• Builder credibility from shipping production code.
• A scrappy mentality–comfortable wearing multiple hats, building from scratch, and driving clarity in ambiguous situations.

The annual compensation range for this role is $280,000-$320,000 USD.