The opportunity
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
What you'll do
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 clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial.
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.
What they're looking for
- 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.