Research Fellow in Genetic Epidemiology and Data Science

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description The Faculty of Medicine at the University of Southampton invites applications for a three-year, full-time, fixed-term Research Fellow to join Professor Hanieh Yaghootkar’s interdisciplinary precision-diabetes research programme. Based at University Hospital Southampton, you will investigate the biological mechanisms underlying type 2 diabetes by integrating measures of organ health with large-scale genetic and clinical data. Working alongside genetic epidemiologists, clinicians and data scientists, you will apply advanced statistical and machine learning approaches to identify distinct diabetes subtypes, investigate their genetic determinants and improve prediction of disease risk and progression. The role . As a Research Fellow, you will: . Develop and apply machine learning approaches to identify distinct subtypes of type 2 diabetes using measures of liver, pancreas, adipose tissue and skeletal muscle health. Characterise the clinical, metabolic and genetic profiles of diabetes subtypes and evaluate their reproducibility across populations. Conduct genome-wide association studies (GWAS) of organ-health traits and diabetes subtypes, and apply Mendelian randomisation to investigate potential causal relationships. Develop and evaluate statistical and machine learning models to predict incident type 2 diabetes and disease progression using genetic and clinical data. Analyse large-scal