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Senior Pharmacoepidemiologist – RWE & Data Science

Senior Pharmacoepidemiologist – RWE & Data Science

On site

London, United kingdom

£ 90,000 /year

Senior

Full Time

08-09-2025

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Skills

Communication Python SQL SAP Agile Analytics Data Science

Job Specifications

Job Title: Senior Pharmacoepidemiologist - RWE & Data Science

Location: London (Hybrid)

Salary: PS60,000 - PS90,000 DOE

About the Role

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

Bonus Experience

Prior work in a startup, biotech or agile CRO
Hands-on work with MarketScan, Flatiron Health, or Premier datasets
Understanding of product development processes in tech-enabled life sciences companies

This is an opportunity to join a company that's not just running studies, but building the future of drug development infrastructure. If you've got the technical depth, strategic mindset and coding fluency to back it up - get in touch.

Apply with a copy of your CV to: j.phillips@cubiqrecruitment.com

About the Company

We believe that advanced technology is paving the way to a more sustainable future. We believe in going the extra mile to provide our customers with a competitive edge. Since our inception in 2010, Cubiq has established a reputation for excellence in the delivery of high quality engineering talent to the most ground-breaking technology companies in the world. Cubiq methods are subtle, data-driven, and highly effective, which is how we have become widely recognised as leading experts within engineering and technology recr... Know more