Applied AI Engineer, Beneficial Deployments (Life Sciences - Clinical Trials/Drug Repurposing)

London · GBP 225,000-255,000 / year · Hybrid · Posted Oct 6, 2026

At a glance

Anthropic’s 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.

We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team.
This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases.

Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks.
Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step.
Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research.

Hands-on experience designing, running or analysing clinical trials, or finding new uses for existing medicines.
Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments.
Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it.
Experience working directly with external partners or customers in a technical role.
Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust.
A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Deep experience in both designing, running or analysing clinical trials and finding new uses for existing medicines
Having contributed to a regulatory submission for a trial

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time, though some roles may require more time in our offices.