Diabetes Subtypes Data Science & Genetics Fellow

Cyber Security Academy Southampton; Southampton; On-site; GBP 36,000 - 48,000; Full time

Job summary

University of Southampton invites applications for a three-year, full-time Research Fellow in genetic epidemiology and data science. Based at University Hospital Southampton, you will integrate organ-health measures with large-scale genetic data to identify diabetes subtypes and predict disease risk.

Collaborate across epidemiology, genomics, imaging, statistics and data science to advance precision medicine.

Qualifications

• PhD in genetic epidemiology or closely related field.
• Experience analysing large-scale genetic, epidemiological or biomedical datasets (ideally UK Biobank).
• Strong statistical and computational skills with R and/or Python; Linux-based computing experience.
• Experience conducting GWAS and Mendelian randomisation analyses with quality control and interpretation.
• Experience applying machine learning to complex biomedical data.

Responsibilities

• Develop and apply ML approaches to identify diabetes subtypes from multi-omics and clinical data.
• Characterise clinical and genetic profiles of diabetes subtypes and assess reproducibility across populations.
• Conduct GWAS and Mendelian randomisation studies on organ-health traits and diabetes subtypes.
• Develop models to predict incident type 2 diabetes and progression using genetic and clinical data.
• Analyze large datasets (e.g., UK Biobank) with robust statistical methods and reproducible workflows.
• Publish findings and present at conferences; collaborate across multidisciplinary teams.

Skills

Machine learning for biomedical data

Statistical genetics

Clustering

Predictive modelling

Education

PhD in genetic epidemiology

PhD in statistical genetics

PhD in biostatistics

PhD in data science

Tools

R

Python

Linux

Job description

University of Southampton invites applications for a three-year, full-time Research Fellow in genetic epidemiology and data science. Based at University Hospital Southampton, you will integrate organ-health measures with large-scale genetic data to identify diabetes subtypes and predict disease risk.

Collaborate across epidemiology, genomics, imaging, statistics and data science to advance precision medicine.