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Senior Epidemiologist

Cubiq Recruitment
London
2 weeks ago
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This range is provided by Cubiq Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Scaling Data & AI Teams in Drug Discovery, Genomics & Bioinformatics

Location:London (Hybrid)

About the Role

A VC-backed biotech startup in London is looking for a senior-level epidemiologist / RWE programmer with strong coding skills to join their growing medical function.

You’ll be part of a company that’s challenging the traditional drug development model - building internal tools, partnering with biopharma teams, and delivering strategic, data-led solutions across the lifecycle of a development programme.

This is a hands-on, hybrid role that combines scientific depth with software fluency. Ideal for someone who thrives at the intersection of real-world evidence, clinical data, and high-impact product development.

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 inSQLplusR 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
  • Experience building tools or reproducible workflows in collaboration with software engineers
  • 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.

Apply with a copy of your CV to:

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst and Information Technology

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