Research Fellow Data Science/ Medical Statistics

University of Leeds

Bradford, UK

Application Deadline

Are you an ambitious and talented researcher with expertise in health data, data science, medical statistics and/or machine learning? Do you want to join a leading research centre to implement high quality health and social care research?

We are seeking to appoint a Research Fellow in Health Data Science/Medical Statistics to join our world leading team in the Academic Unit for Ageing & Stroke Research (ASR), Leeds Institute of Health Sciences, located at the Bradford Institute for Health Research. The ASR is a long-established applied health research centre with an international reputation for research related to older people and stroke. As the University of Leeds host Unit for Health Data Research UK (HDR UK) North, the ASR is recognised as a UK and international leader in Health Data Research relating to older people. Influential recent health data research work has included development and national implementation of the multi-award-winning electronic frailty index (eFI), alongside prognostic prediction modelling work, and medicines optimisation. ASR research outputs have generated major impact through direct influence on UK healthcare policy, are cited in clinical guidelines worldwide, and have led to international changes in practice for the identification and management of older people living with frailty. The successful applicant will join this established team of mixed-methods researchers.

This role is an exciting opportunity to support the development and implementation of a number of projects using routine health data. This will include a leading role in a National Institute for Health and Care Research Health and Social Care Delivery Research (NIHR HSDR) funded project to investigate inequalities in overprescribing of medicines for older people using Clinical Practice Research Datalink (CPRD) data, and an NIHR funded project to investigate stratified care for people with hypertension using routine 24-hour blood pressure measurements.

As Research Fellow in Health Data Science/Medical Statistics you will have experience of acquiring, managing and analysing large, complex health datasets, including developing data sharing agreements. You will have a BSc with a major numerate or computational component (including statistics, machine learning, data science, mathematics or a computational science) and a relevant postgraduate qualification, or equivalent experience, in a relevant area of study. You will have excellent communication and interpersonal skills and the ability to liaise effectively with a wide range of people, including across a range of international institutions

To explore the post further or for any queries you may have, please contact:

Professor Andy Clegg, Head of ASR

Tel: +44 (0)1274 383406


Additional Information

Working at Leeds

We are a campus based community and regular interaction with campus is an expectation of all roles in line with academic and service needs and the requirements of the role. We are also open to discussing flexible working arrangements. To find out more about the benefits of working at the University and what it is like to live and work in the Leeds area visit our Working at Leeds information page.

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