Postdoctoral Researcher

The University of Oxford is seeking a highly motivated Postdoctoral Scientist with expertise in biostatistics, machine learning, and cardiac magnetic resonance imaging (MRI) to join Professor Betty Raman’s cardiovascular research team.

This role is embedded within a cutting-edge programme focused on integrating high-dimensional datasets, including advanced cardiac MRI (oxygen-sensitive, metabolic, and structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise DPhil students, manage data analysis pipelines, and contribute to publications and grant writing. This post is ideally suited to someone aiming to secure a long-term fellowship and build an independent research programme at Oxford.

Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential.

The postholder will be expected to work on-site in Oxford at least 3 - 4 days per week to support student supervision and collaborative research. We offer a highly supportive environment within the Oxford BHF Centre of Research Excellence, with access to world-class imaging facilities and a vibrant interdisciplinary network.

Informal enquiries are welcome and should be directed to Professor Betty Raman (betty.raman@cardiov.ox.ac.uk).

Only applications received by midday on September 10th can be considered.

Interviews are expected to be held on September 24-26th, with the job to commence November 24th 2025.

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