Postdoctoral Epidemiologist

The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data such as multiplex proteomics. The postholder will contribute to the planning and delivery of ATLAS studies, prepare and clean large-scale datasets, apply appropriate statistical methods, and assist in developing reproducible analytical pipelines. Additional duties will include contributing to study design and interpretation, preparing scientific reports and publications, presenting findings at academic meetings and conferences, and supporting wider academic activities within the Department, including teaching, mentoring and supervision where appropriate.

You will hold, or be close to completing, a PhD/DPhil in epidemiology, biostatistics or a related field, and have experience analysing health-related or epidemiological data and managing complex projects involving molecular data. You will have experience using statistical software such as R, Stata or Python, together with the ability to manage and analyse complex datasets and contribute to scientific publications and presentations. You will also have excellent communication and organisational skills, strong attention to detail, and the ability to work both independently and collaboratively. Experience with large cohort datasets, international collaborations, and the analysis of omics or proteomic data would be advantageous.

Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF We are seeking a Postdoctoral Epidemiologist to join the Cancer Epidemiology Unit (CEU), within the Nuffield Department of Population Health, University of Oxford. This is an exciting opportunity for a postdoctoral researcher with a strong background in epidemiology, biostatistics or a related field to contribute to the ATLAS Cancer Grand Challenges programme and the Unit's broader portfolio of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological and molecular data from prospective cohort studies.

In return we offer an excellent benefits package including:

• 38 days annual leave (pro rata for part time)
• Hybrid working
• An excellent contributory pension scheme
• Childcare services
• Family leave schemes
• Cycle and electric car loan schemes
• Employee Assistance Programme
• Membership to social and sports clubs
• Discounted bus travel and travel loans
• Weekly coffee and cake mornings, and social events throughout the year
This role is based in Oxford, and offered on a full-time basis (part-time considered). It is a fixed-term post for 2 years.