Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

Queen Mary University of London

Closing soon

Postdoctoral Research Associate in Cardiovascular Imaging, Genetic Epidemiology and AI Queen Mary University of London in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 2, 2026

Country flag

Country

United Kingdom

University

Queen Mary University of London

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Data Science
Biomedical Engineering
Biology
Artificial Intelligence
Medical Science
Cardiac Imaging
Genetic Epidemiology
Statistics
Machine learning

Suggested positions

About this position

Queen Mary University of London’s Centre for Advanced Cardiovascular Imaging at the William Harvey Research Institute is recruiting a Postdoctoral Research Associate for a cardiovascular research programme led by Nay Aung.

The post is focused on cardiovascular imaging, genetic epidemiology, and data science, with work spanning large-scale research datasets and secure data environments. Research themes include genetic and epidemiological studies of cardiovascular disease, with opportunities to build expertise in GWAS, fine-mapping, colocalisation, polygenic risk scoring, and Mendelian randomisation. The role also includes analysis of multi-modal imaging data such as MRI, CT, and echocardiography, with scope to develop machine learning and AI methods.

This is a 2-year MRC-funded post with potential for extension subject to funding. The salary range is £38,419–£51,755 per annum. The team describes itself as friendly, international, and collaborative, with a wide network of collaborators worldwide.

Applicants should have a PhD or be near completion in statistical genomics, genetic epidemiology, data science, computing, AI, biomedical engineering, or a related field. A strong publication record in genetic epidemiology, GWAS, or omics-based research is especially valued, along with strong Python/R/Linux/GitHub skills.

The position is based in London (or for candidates willing to relocate). The closing date is 2 August 2026. Interested candidates should review the full job advert and apply via the jobs.ac.uk link provided in the post.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?