About the Role

This is a full-time Postdoctoral Research Associate post for 2 years, funded through a Medical Research Council (MRC) grant. The postholder will lead or support an imaging-genomics research programme with two main strands: (i) bioinformatics experiments to unravel the genetic basis of cardiovascular diseases and discover novel therapeutic targets, including genome-wide association studies (GWAS), fine-mapping, colocalisation, polygenic risk scoring, and Mendelian Randomisation; and (ii) deep phenotyping of multi-modal cardiovascular imaging (MRI, CT, echocardiography) from large-scale, diverse datasets using machine learning and AI techniques. Findings will be disseminated through peer-reviewed publications, conference presentations, and public engagement.

About You

You will hold, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant experience in statistical genetics or genomics research, demonstrated through a peer-reviewed publication record, and excellent programming skills (Python, R, Linux, GitHub). Experience wrangling and analysing large-scale datasets, including resources such as UK Biobank, is essential. You will be self-motivated, able to work independently, and committed to collaborative team science. Experience integrating routinely collected healthcare data with clinical and biomarker datasets, and supervision of junior researchers, would be advantageous.