Postdoctoral Research Associate

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.

About the School/Department/Institute/Project

The William Harvey Research Institute (WHRI) is a world-leading centre within the QMUL Faculty of Medicine and Dentistry, devoted to therapeutic innovation in cardiovascular, endocrine and inflammatory diseases. The Centre for Advanced Cardiovascular Imaging, established in 2010 and closely linked to the Department of Imaging at Barts Heart Centre, Barts Health NHS Trust, applies statistical, epidemiological, multi-omics and machine learning approaches to national-scale imaging cohorts including UK Biobank and Our Future Health. Our research is multidisciplinary, with collaborators across leading academic centres in the USA, Europe and Asia. The postholder will have opportunities to develop their academic profile in data science, machine learning and statistical genetics within a friendly, accessible and internationally connected team.

About Queen Mary

At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.

Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.

We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Closing Date: 02/08/2026, 23:55 

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