Publisher
source

University of Oxford

Postdoctoral Epidemiologist in Cancer Epidemiology and Molecular Data Analysis University of Oxford in United Kingdom

Degree Level

Postdoc

Field of study

Epidemiology

Funding

Fixed-term post for 2 years. Full-time basis, with part-time considered. Benefits include 38 days annual leave pro rata, hybrid working, pension scheme, childcare services, family leave, cycle and electric car loan schemes, employee assistance, social and sports club membership, discounted bus travel and travel loans.

Deadline

Sep 10, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Epidemiology
Biostatistics
Biology
Statistical Analysis
Cancer Prevention
Medical Science
Salud Pública
Cancer Epidemiology
Statistics

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About this position

University of Oxford is advertising a Postdoctoral Epidemiologist position within the Cancer Epidemiology Unit in the Nuffield Department of Population Health. The role contributes to the ATLAS Cancer Grand Challenges programme and the Unit’s wider research on cancer risk and prevention.

The successful candidate will work with Professor Ruth Travis, Dr Karl Smith-Byrne, and the wider research team on large-scale epidemiological and molecular datasets from prospective cohort studies. The work includes managing and analysing complex datasets, including high-dimensional omics data such as multiplex proteomics, preparing and cleaning data, applying statistical methods, and developing reproducible analytical pipelines.

This post is aimed at researchers with a strong background in epidemiology, biostatistics, or a related field. Applicants should hold, or be close to completing, a PhD/DPhil, and should have experience with health-related or epidemiological data, statistical software such as R, Stata, or Python, and scientific writing/presentations. Experience with large cohort datasets, international collaborations, and omics/proteomic analysis would be an advantage.

The appointment is based in Oxford, England, United Kingdom, full-time with part-time considered, and fixed-term for 2 years. The closing date for applications is 10 September 2026 at noon.

To apply, submit an online application through the University of Oxford recruitment portal, along with a CV and cover letter that addresses the selection criteria in the job description.

Funding details

Fixed-term post for 2 years. Full-time basis, with part-time considered. Benefits include 38 days annual leave pro rata, hybrid working, pension scheme, childcare services, family leave, cycle and electric car loan schemes, employee assistance, social and sports club membership, discounted bus travel and travel loans.

What's required

Hold, or be close to completing, a PhD/DPhil in epidemiology, biostatistics or a related field. Experience analysing health-related or epidemiological data and managing complex projects involving molecular data is required. Experience using R, Stata or Python, strong communication and organisational skills, attention to detail, and ability to work independently and collaboratively are expected. Experience with large cohort datasets, international collaborations, and omics/proteomic data would be advantageous.

How to apply

Apply online via the University of Oxford recruitment portal. Upload a CV and a cover letter, and ensure the cover letter addresses each selection criterion in the job description.

More information can be found here

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