Description:
A venture-backed TechBio company in London is hiring a senior-level epidemiologist or RWE programmer to help build the future of data-driven drug development.
You’ll join a team that’s rethinking the traditional model - developing internal tools, working directly with biopharma partners, and applying real-world evidence to accelerate drug development.
This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy.
Key Responsibilities
- Design and analyse non-interventional studies, including regulatory-grade and exploratory projects
- Collaborate with engineering to build internal tools that support and scale RWE applications
- Engage with external partners to guide RWE strategy and deliver high-quality outputs
- Translate complex data into actionable insights for internal stakeholders and regulators
- Lead protocol and SAP development, contribute to CSRs and publication strategy
- Apply modern causal inference techniques to support study validity and robustness
Ideal Candidate
- MSc/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc)
- Strong coding skills in SQL plus R or Python (this is non-negotiable)
- Experience delivering end-to-end observational studies using real-world datasets
- Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs)
- Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries)
- Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts
- Skilled in handling and cleaning messy, multimodal data
- Confident using methods such as propensity score matching, IP weighting, and IV analysis
- Excellent communication skills with the ability to distil complex findings for different audiences