Applied AI Engineer, Beneficial Deployments (Life Sciences - Clinical Trials/Drug Repurposing)
Anthropic · London, UK · Applied AI · listed October 6, 2026
The shape of it
Seniority
Not stated
Where
Hybrid
Requirements listed
1
Length
1,134 words
In the posting’s own words
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, where there is little or no commercial incentive to fund development.
What it asks for · 1
- Hands-on experience designing, running or analysing clinical trials, or finding new uses for existing medicines. Deep experience in one; both are a bonus. Having contributed to a regulatory submission for a trial is a plus.
What the job covers
- 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.
Tools and skills named
Models & research
- Evaluations
- LLM
Data
- Statistics
Security & compliance
- Regulatory
Words the posting leans on
- partners7×
- trials7×
- patient5×
- claude4×
- data4×
- clinical trials3×
- experience3×
- medicines3×
- operational3×
- research3×
- uses3×
- approved2×
- biomedical data2×
- build2×
- clinicians2×
- design2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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