Senior Data Analyst

JR United Kingdom; North East; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading global CRO is seeking a Senior Data Analyst to join its expanding Real-World Evidence team. This role focuses on supporting oncology observational research, requiring extensive experience with Flatiron Health data and strong analytical skills. The position offers competitive remuneration and is fully remote across the UK and Europe.

Benefits

Generous remuneration and benefits package

Fully remote role

Qualifications

• 5-8 years' experience with Master's or 2+ years with PhD.
• Extensive experience with Flatiron Health data.
• Experience with oncology-specific methodologies.

Responsibilities

• Lead statistical programming and analyses using Flatiron Health.
• Develop statistical analysis plans and reports.
• Evaluate data feasibility and build patient cohorts.

Skills

Statistical programming

Data analysis

Communication

Detail-oriented

Education

Master’s degree in Biostatistics, Epidemiology, Data Science

PhD in related field

Tools

SAS

R

Job description

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Senior Data Analyst, newcastle-upon-tyne, tyne and wear

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Client:

Warman O'Brien

Location:

newcastle-upon-tyne, tyne and wear, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

26.06.2025

Expiry Date:

10.08.2025

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Job Description:

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 [phone] for a confidential discussion about potential opportunities.