The University of Bristol is seeking a postdoctoral scientist to develop multi-omic models of obesity-related cancer risk from molecular models of cancer-related risk factors including imaging-derived adiposity traits, as part of the Cancer Research UK-funded Obesity-related Cancer Epidemiology Programme (OCEP).
Requirements
- Understanding of molecular epidemiological concepts and population health science
- Detailed knowledge of population-based statistical methods to analyse large, multidimensional datasets
- Expertise in the use of machine learning methods for deriving and evaluating predictive models from large datasets
- Experience accessing and analysing large datasets within high-performance computing and/or cloud compute environments
- Experience using deep learning models for extracting features from medical imaging
- Strong track record of academic publications
- Experience of collaborating and corresponding with multiple studies
Responsibilities
- Develop multi-omic models of obesity-related cancer risk from molecular models of cancer-related risk factors including imaging-derived adiposity traits
- Evaluate risk models for their capacity to inform targeted interventions
- Use machine learning methods for deriving and evaluating predictive models from large datasets
- Use deep learning models for extracting features from medical imaging
- Access and analyse large datasets within high-performance computing and/or cloud compute environments
- Collaborate and correspond with multiple studies
- Develop and evaluate predictive models from large datasets
Other
- Hybrid working is available, ideally with at least one day per week on campus
- Contract type: Fixed Term (mat cover) between 01/02/2026 -31/08/2026 or earlier return of the postholder from maternity leave
- Work pattern: Full-time/ 1 FTE
- Grade: J / Pathway 2
- Shift pattern: 35 hours per week
