Applied AI Engineer, Beneficial Deployments; Life Sciences

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits foundations and mission-driven organizations to deploy Claude in education global health economic mobility and life sciences- focusing on raising the floor for those who need it most.

About the Role
Were 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. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimagining pharma pipelines - and building the technical infrastructure to back that up.

Youll work directly with flagship research partners like The Howard Hughes Medical Institute (HHMI) and The Allen Institute embedded in their scientific workflows. This isnt consulting from the outside - youll be building alongside their engineers prototyping agents that fit into real research pipelines and developing the ecosystem-level tooling (MCP servers benchmarks reusable agent skills) that extends Claudes usefulness across the broader life sciences community.

This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier.

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 whats 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.

You Might Be a Good Fit If You Have:

• Deep research experience in life sciences biomedical research or scientific computing. Bonus if youve 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.

The annual compensation range for this role is listed below.

For…