National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst

Warman O'Brien
London
1 month ago
Create job alert

Senior Data Analyst – RWE | Global CRO – Client FSP | UK & Europe | Home based |


We’re hiring a Senior Data Analyst to join our clients expanding Real-World Evidence team where you will be fully embedded within our client’s FSP model at a global pharma. This is a fully integrated role supporting oncology observational research, with a strong focus on Flatiron Health data.


You’ll play a key role in advancing real-world insights in oncology, leading programming, analyses, and collaborating cross-functionally with epidemiologists, data scientists, and external partners.


If you're experienced with Flatiron data and thrive in complex, matrixed environments, this is your opportunity to drive meaningful change in cancer research.


What you’ll be doing:

  • Lead statistical programming and analytics using Flatiron Health and other real-world data (RWD) sources, including claims, EHR, genomic, and HEOR data.
  • Develop statistical analysis plans, specifications, and contribute to study reports.
  • Evaluate data feasibility, build patient cohorts, and define/validate variables aligned to oncology study goals.
  • Integrate data across sources and ensure quality control through automation and checks.
  • Deliver analyses on time, on budget, and in line with quality expectations for multiple studies.
  • Collaborate with epidemiologists and scientific teams to refine coding logic, variable definitions, and workflows.
  • Act as a technical and analytical resource for complex RWD projects.


What you will need:

  • Master’s degree (with 5–8 years' experience) or PhD (with 2+ years) in Biostatistics, Epidemiology, Data Science, or a related field.
  • Extensive experience using Flatiron Health data for real-world oncology research.
  • Expertise in programming oncology-specific methodologies, such as deriving lines of therapy and performing survival analyses.
  • Proficiency in SAS (preferred) or R.
  • Proven experience in real-world studies, especially handling large, complex datasets.
  • Strong organization, prioritization, and communication skills with a sharp eye for detail.


What’s in it for you:

  • An exciting opportunity to support innovative clinical research for a leading biotech sponsor, while being part of a globally recognized organization known for its scientific excellence and commitment to improving patient outcomes.
  • Generous remuneration and benefits package.
  • Fully remote role across the UK & Europe.


What to do next:

If this opportunity is of interest, please apply now with your CV as the organisation are looking to welcome the Senior Data Analystonboard as soon as possible.

Not what you’re looking for?

Please contact Jo Fornaciari on +44 7488 822 859 for a confidential discussion about potential opportunities.

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.