Research Fellow in Epidemiology
| Posting date: | 01 April 2026 |
|---|---|
| Salary: | £41,064 to £48,822 per year |
| Hours: | Full time |
| Closing date: | 01 May 2026 |
| Location: | Leeds, West Yorkshire |
| Remote working: | On-site only |
| Company: | University Of Leeds (Medicine) |
| Job type: | Contract |
| Job reference: | MHLCM1425 |
Summary
Leeds Institute of Cardiovascular and Metabolic Medicine
Are you an ambitious researcher looking for your next challenge? Do you have a background in epidemiology and large-scale electronic healthcare records? Do you want to further your career in one of the UK’s leading research-intensive Universities?
We are seeking to appoint a Research Fellow in Epidemiology to join the Survivorship and Multimorbidity Epidemiology Research Group led by Dr Marlous Hall. This post is available immediately and offers an exciting opportunity to be part of a growing research team, working in a global priority research area with the potential to drive significant improvements in health and healthcare.
You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and Metabolic Medicine. You will be responsible for the delivery of research through the application of advanced statistical techniques to clinical registry and electronic healthcare record data to study real-life complex patterns of health and care for people with cardiovascular disease as well as undertake activities as part of the wider research group including data applications, development of analytical protocols, pilot work contributing to future grants and design and delivery of patient and public engagement activities.
You must have a PhD (or close to completion) in epidemiology, biostatistics, health data science, applied statistics or a closely related discipline, demonstrate skills in critical evaluation of statistical literature, be a highly motivated individual with strong experience in working effectively and efficiently with large scale electronic healthcare data (such as CPRD, MINAP, HES) applying advanced statistical modelling and causal inference techniques.
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 over 42 days a year!
Generous pension scheme plus life assurance.
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.
All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these.
Access to on-site childcare, shopping discounts and travel schemes are also available
To explore the post further or for any queries you may have, please contact:
Dr Marlous Hall, Associate Professor of Epidemiology
Email: m.s.hall@leeds.ac.uk
Are you an ambitious researcher looking for your next challenge? Do you have a background in epidemiology and large-scale electronic healthcare records? Do you want to further your career in one of the UK’s leading research-intensive Universities?
We are seeking to appoint a Research Fellow in Epidemiology to join the Survivorship and Multimorbidity Epidemiology Research Group led by Dr Marlous Hall. This post is available immediately and offers an exciting opportunity to be part of a growing research team, working in a global priority research area with the potential to drive significant improvements in health and healthcare.
You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and Metabolic Medicine. You will be responsible for the delivery of research through the application of advanced statistical techniques to clinical registry and electronic healthcare record data to study real-life complex patterns of health and care for people with cardiovascular disease as well as undertake activities as part of the wider research group including data applications, development of analytical protocols, pilot work contributing to future grants and design and delivery of patient and public engagement activities.
You must have a PhD (or close to completion) in epidemiology, biostatistics, health data science, applied statistics or a closely related discipline, demonstrate skills in critical evaluation of statistical literature, be a highly motivated individual with strong experience in working effectively and efficiently with large scale electronic healthcare data (such as CPRD, MINAP, HES) applying advanced statistical modelling and causal inference techniques.
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 over 42 days a year!
Generous pension scheme plus life assurance.
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.
All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these.
Access to on-site childcare, shopping discounts and travel schemes are also available
To explore the post further or for any queries you may have, please contact:
Dr Marlous Hall, Associate Professor of Epidemiology
Email: m.s.hall@leeds.ac.uk