Research Fellow
Are you an ambitious and talented researcher with expertise in health data, data science and/or medical statistics? 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 ethnicity based inequalities in access to and delivery of transient ischaemic attack (TIA) pathways using Clinical Practice Research Datalink (CPRD) data, and an NIHR-funded programme of research to develop prognostic prediction models using routine hospital electronic health record (EHR) data.
As Research Fellow in Health Data Science/Medical Statistics you will have experience of acquiring, managing and analysing large, complex 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.
Please note that this post may be suitable for sponsorship under the Skilled Worker visa route
but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.
For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent
What we offer in return
26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
Generous pension scheme plus life assurance– the University contributes 14.5% of salary
Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Andrew Clegg, Head of Academic Unit for Ageing and Stroke Research
Email: A.P.Clegg@leeds.ac.uk
Further details:
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