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Leicester bhf centre of research excellence research associate in epidemiology

Leicester
University Of Leicester
Research associate
Posted: 7 October
Offer description

About the role

The BHF Leicester Centre of Research Excellence is seeking a Research Associate to join the Leicester Real World Evidence Unit and deliver applied epidemiological research within the Populations theme.

You’ll work with large-scale real-world datasets (e.g. UK Biobank, the Clinical Practice Research Datalink (CPRD), and Hospital Episodes Statistics) to explore cardiovascular and metabolic disease, using advanced statistical methods such as survival analysis, causal inference, and prediction modelling. You’ll contribute to study design, data preparation, and statistical support across BHF Centre of Research Excellence projects, and collaborate with teams across the University.

You’ll be part of a £3M programme translating research into diagnostics, treatments, and policy, with opportunities to publish, present, and apply for future funding.

The University of Leicester was awarded a Research Excellence Award for £3 million over five years from the British Heart Foundation. Under the leadership of Professor Andre Ng, alongside the 6 Theme Leads, a new Centre of Research Excellence will be developed. The Centre will build on our established world-leading cardiovascular research with three research themes, ‘Discovery’, ‘Interventions’ and ‘Populations’. Working across themes and with many of our Centres of research excellence for diabetes research; artificial intelligence, data analytics and modelling; environmental health and sustainability and ethnic health research demonstrating world leading research will be at the forefront of the Centre’s strategy and growth.

About you

We’re looking for candidates with:

1. Experience in analysing electronic health records or observational data
2. Strong statistical and methodological expertise
3. A collaborative mindset and commitment to impactful, inclusive research
We welcome applicants from diverse backgrounds and communities.

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