Applied AI Engineer, Beneficial Deployments (Life Sciences - Clinical Trials/Drug Repurposing) at Anthropic
United Kingdom
Posted
on-site · full-time · Visa sponsorship
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Responsibilities:
- Partner-facing engineering: embed with nonprofits, research institutes, academic medical centres and funders to deliver Claude-powered solutions.
- Clinical trial support: draft, review and prioritise trial protocols and statistical analysis plans; identify enrollment, operational and regulatory risks; accelerate site start-up and trial quality.
- Drug repurposing tooling: design and validate pipelines that extract hypotheses from literature, omics, and patient/real-world data; assemble evidence packages for partner decision-making.
- Build reusable infrastructure: develop MCP server integrations, agent skills, benchmarks and reproducible pipelines partners can adopt.
- Validation & feedback: run technical and clinical validation, document failure modes, and communicate findings back to product, engineering and research teams.
- Technical communication: present findings to scientists, clinicians and non-technical stakeholders and help translate hypotheses into actionable next steps.
Requirements:
- Hands-on experience in clinical trials (design/run/analysis) or drug repurposing; deep experience in one area and operational familiarity with the other is a strong plus.
- Strong engineering skills (Python, data pipelines, ML/MLP/LLM tooling) and experience taking prototypes to production.
- Experience working with biomedical data types (literature, omics, EHRs, registries, RWE) and validating data quality and analysis results.
- Knowledge of protocol design, statistical analysis plans, and clinical/regulatory constraints in trials.
- Clear technical writing and stakeholder management skills; ability to collaborate with clinicians and researchers.
- Comfortable building reusable infra (API/MCP servers, agentic workflows) and iterating solutions based on field feedback.