Research Fellow: Genetic Epidemiology & ML for Diabetes

Unist; Southampton; On-site; GBP 42,000 - 54,000; Full time

Benefits offered by this job

Athena SWAN principles

Flexible working

Pension provision

Generous annual leave

Job summary

The Faculty of Medicine at the University of Southampton invites applications for a three-year, full-time Research Fellow to join Professor Hanieh Yaghootkar’s interdisciplinary precision-diabetes programme at University Hospital Southampton.

You will apply statistical and machine learning methods to identify diabetes subtypes, analyse GWAS, and build models to predict disease risk and progression using UK Biobank and other datasets.

Qualifications

• PhD in genetic epidemiology, statistical genetics, biostatistics, data science, computational biology or closely related discipline.
• Experience analysing large-scale genetic, epidemiological or biomedical datasets (UK Biobank preferred).
• Strong statistical and computational skills; proficiency in R and/or Python; Linux environments.
• Experience with GWAS and Mendelian randomisation analyses, including QC and sensitivity analyses.
• Experience applying ML or advanced statistical methods to biomedical data.
• Demonstrated high-quality research outputs (publications).

Responsibilities

• Develop and apply machine learning to identify diabetes subtypes from organ-health and genetic data.
• Characterise clinical, metabolic and genetic profiles of diabetes subtypes across populations.
• Conduct GWAS of organ-health traits and subtypes; apply Mendelian randomisation.
• Develop models to predict incident diabetes and progression using genetic and clinical data.
• Analyse large-scale datasets (e.g., UK Biobank) with robust workflows.
• Contribute to publications and conference presentations.
• Collaborate across multidisciplinary research teams.

Skills

R and Python

GWAS

Mendelian randomisation

Large-scale data

Linux computing

Statistical modelling

Communication skills

Education

PhD in genetic epidemiology / related

Tools

UK Biobank

Job description

The Faculty of Medicine at the University of Southampton invites applications for a three-year, full-time Research Fellow to join Professor Hanieh Yaghootkar’s interdisciplinary precision-diabetes programme at University Hospital Southampton.

You will apply statistical and machine learning methods to identify diabetes subtypes, analyse GWAS, and build models to predict disease risk and progression using UK Biobank and other datasets.