Postdoctoral Research Fellow – BEAT-DKD Diabetic Kidney Disease Biomarker and Imaging Analysis Study
University of Exeter
Exeter, United Kingdom
The University of Exeter is recruiting a Postdoctoral Research Fellow to join an EU multi-centre observational research programme, BEAT-DKD, focused on identifying early biomarkers for the progression of diabetic kidney disease. The role is based within the Faculty of Health and Life Sciences and involves working closely with leading researchers, including Dr Kim Gooding and Professor Angela Shore.
The successful candidate will take a leading role in the analysis of complex multi-modal datasets generated through the Exeter BEAT-DKD sub-studies and contribute significantly to the wider consortium’s imaging and biomarker research activities. The position focuses on integrating diverse data types, including clinical datasets, imaging modalities, and both traditional and novel biofluid-based biomarkers such as omics data.
The role includes responsibility for advanced statistical analysis, data interpretation, and the development of robust analytical frameworks. The postholder will also contribute to data management processes, liaise with central BEAT-DKD data coordination teams, and actively participate in collaborative writing groups for the preparation of scientific publications. A key expectation is the production of high-quality manuscripts and contributions to the dissemination of research findings across the consortium and broader scientific community.
This is a fixed-term, full-time research position supporting internationally collaborative, translational biomedical research aimed at improving understanding and early detection of diabetic kidney disease progression.
[Eligibility Criteria]
Applicants must hold a PhD or equivalent qualification in a relevant discipline such as biomedical sciences, epidemiology, biostatistics, data science, or a closely related field. Candidates should have a strong track record of academic research and publication, particularly in data-driven biomedical or clinical research contexts.
Applicants are expected to demonstrate experience in designing and implementing data analysis strategies, working with complex multi-source datasets, and contributing to collaborative international research programmes. Strong communication skills and the ability to work effectively within multidisciplinary teams are essential.
[Required expertise/skills]
Strong experience in statistical analysis and advanced data interpretation
Proficiency in integrating heterogeneous datasets, including clinical and imaging data
Experience with biomarker research, bioinformatics, or omics-based datasets is highly desirable
Ability to develop analytical frameworks and research methodologies independently
Experience contributing to peer-reviewed publications and scientific manuscripts
Strong collaborative skills and ability to liaise with international research consortia
Experience in managing and curating large research datasets is advantageous
Salary details
From £43,482 per annum (Grade F), depending on skills and experience
Application Deadline
14 June 2026