Diabetes Genomics & Data Science Fellow

University of Southampton; Southampton; On-site; GBP 37,000 - 46,000; Full time

Benefits offered by this job

Athena SWAN principles

Pension provision

Generous annual leave

Job summary

The University of Southampton invites applications for a three-year, full-time Research Fellow to join a precision-diabetes research programme led by Professor Hanieh Yaghootkar, based at University Hospital Southampton. You will investigate biological mechanisms of type 2 diabetes by integrating organ-health measures with large-scale genetic and clinical data.

Working with genetic epidemiologists, clinicians and data scientists, you will apply advanced statistical and machine learning

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, ideally including UK Biobank.
• Strong statistical and computational skills with R and/or Python and Linux environments.
• Experience conducting GWAS and Mendelian randomisation analyses with QC and sensitivity checks.
• Experience applying machine learning or predictive modelling to complex biomedical data.
• Strong research outputs visible in peer-reviewed publications.

Responsibilities

• Develop and apply machine learning to identify diabetes subtypes using organ-health measures.
• Characterise clinical, metabolic and genetic profiles of diabetes subtypes across populations.
• Conduct GWAS and Mendelian randomisation analyses to explore causal relationships.
• Build models to predict incident type 2 diabetes and disease progression.
• Analyse large-scale datasets (e.g., UK Biobank) using reproducible workflows.
• Contribute to publications, conferences, and dissemination of findings.
• Collaborate with multidisciplinary teams across genetics, imaging, statistics and data science.

Skills

Large-scale data analysis

GWAS/Mendelian randomisation

Machine learning for biomedical data

Statistical modelling

Excellent communication

Education

PhD in genetic epidemiology

Tools

R

Python

Linux

Job description

The University of Southampton invites applications for a three-year, full-time Research Fellow to join a precision-diabetes research programme led by Professor Hanieh Yaghootkar, based at University Hospital Southampton. You will investigate biological mechanisms of type 2 diabetes by integrating organ-health measures with large-scale genetic and clinical data.

Working with genetic epidemiologists, clinicians and data scientists, you will apply advanced statistical and machine learning