We are seeking a Postdoctoral Molecular 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 Prostate Cancer Aetiology and Prevention (PCAP) programme. The programme aims to improve our understanding of the causes of prostate cancer and approaches to prevention through the analysis of large-scale epidemiological and molecular data. The appointee will work closely with Professor Ruth Travis, Associate Professor Karl Smith-Byrne and other members of the research team, using data from large prospective cohort studies, with a particular focus on proteomics and other molecular data.
The main responsibilities will include managing and analysing complex epidemiological and molecular datasets, including high-dimensional omics data such as multiplex proteomics generated using platforms including Olink and SomaLogic. The postholder will contribute to the planning and delivery of PCAP studies, contributing to study design and interpretation, preparing scientific reports and publications, preparing and clean large-scale datasets, applying appropriate statistical methods, and assisting in developing reproducible analytical pipelines. Additional duties will include contributing to study design and interpretation, 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 from large prospective studies, managing complex projects involving molecular data, and analysing multiplex omics data. You will have experience contributing to scientific publications and presentations, including as a first author, and using statistical software such as R, Stata or Python. You will also demonstrate a strong interest in epidemiological and molecular research, 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 proteomic data would be advantageous.
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.
The closing date for applications is noon on 2 December 2026.
You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.