13762 - Epidemiologist/Data Scientist
| Posting date: | 16 March 2026 |
|---|---|
| Salary: | £41,064 to £48,822 per year |
| Hours: | Full time |
| Closing date: | 13 April 2026 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 13762 |
Summary
Grade UE07: £41,064 to £48,822 per annum
CMVM / School of Neurological and Cardiovascular Sciences / Institute for Neuroscience and Cardiovascular Research
Full-time: 35 hours per week
Fixed-term: for 2 years
The Opportunity:
Applications are invited for an Epidemiologist/ Health Data Scientist, to work with Dr Peter Gallacher and Prof. Neeraj Dhaun (Bean) (Cardiovascular and Renal Healthcare Data Research Group) on an ambitious research programme utilising high-fidelity, routinely-collected NHS data to improve cardiovascular risk prediction and management in patients with kidney disease.
The postholder will work at the interface between cardio-renal epidemiology, data science, medical statistics, and clinical medicine. They will contribute to original, high-impact quantitative research by accessing, curating and interrogating large-scale and complex regional and national datasets, comprising linked administrative, biochemistry, diabetes, hospitalisation, mortality, prescribing, renal and transplantation data.
The postholder will work with clinical researchers to transform and curate linked datasets, design novel and exciting data-linkage studies, and perform advanced data analytics and statistical modelling. They will be embedded within our growing research team, comprising clinical research nurses and clinician researchers from a variety of public health, primary and secondary care backgrounds. The postholder will also provide guidance to other members of the research group, including undergraduate or postgraduate students. As our research team grows, they will help to recruit and lead a team of epidemiologists and data scientists.
Our research team is based within the Institute for Neuroscience and Cardiovascular Research – a BHF-funded Centre of Research Excellence in Edinburgh – and works closely and collaboratively with a variety of research teams under the auspices of the Centre’s ‘Heart Diseases’ and ‘Data-Driven Innovation’ Research Themes.
This role would suit an ambitious individual who is either looking to develop their skills and career in high-impact health data research, or a more experienced epidemiologist/data scientist looking to expand their role within a dynamic and specialist team.
You will have:
1. An undergraduate qualification or equivalent in a mathematics, statistics, computing science, scientific or health-related field;
2. Experience of clinical epidemiology or health data science;
3. Experience of data management (e.g. data cleaning and manipulation);
4. Experience of statistical modelling;
5. Proficiency in programming (e.g. statistical programming in R);
6. A strong level of attention-to-detail that is well-suited to handling and analysing large-scale, complex linked datasets.
You will be based in the Institute for Neuroscience and Cardiovascular Research, Queen’s Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ.
The position is funded through an award from the British Heart Foundation and is available immediately for 2 years in the first instance.
Potential applicants who would like to discuss the post are welcome to contact:
Dr Peter Gallacher at: pgallach@ed.ac.uk or
Prof. Neeraj Dhaun (Bean) at: bean.dhaun@ed.ac.uk
CMVM / School of Neurological and Cardiovascular Sciences / Institute for Neuroscience and Cardiovascular Research
Full-time: 35 hours per week
Fixed-term: for 2 years
The Opportunity:
Applications are invited for an Epidemiologist/ Health Data Scientist, to work with Dr Peter Gallacher and Prof. Neeraj Dhaun (Bean) (Cardiovascular and Renal Healthcare Data Research Group) on an ambitious research programme utilising high-fidelity, routinely-collected NHS data to improve cardiovascular risk prediction and management in patients with kidney disease.
The postholder will work at the interface between cardio-renal epidemiology, data science, medical statistics, and clinical medicine. They will contribute to original, high-impact quantitative research by accessing, curating and interrogating large-scale and complex regional and national datasets, comprising linked administrative, biochemistry, diabetes, hospitalisation, mortality, prescribing, renal and transplantation data.
The postholder will work with clinical researchers to transform and curate linked datasets, design novel and exciting data-linkage studies, and perform advanced data analytics and statistical modelling. They will be embedded within our growing research team, comprising clinical research nurses and clinician researchers from a variety of public health, primary and secondary care backgrounds. The postholder will also provide guidance to other members of the research group, including undergraduate or postgraduate students. As our research team grows, they will help to recruit and lead a team of epidemiologists and data scientists.
Our research team is based within the Institute for Neuroscience and Cardiovascular Research – a BHF-funded Centre of Research Excellence in Edinburgh – and works closely and collaboratively with a variety of research teams under the auspices of the Centre’s ‘Heart Diseases’ and ‘Data-Driven Innovation’ Research Themes.
This role would suit an ambitious individual who is either looking to develop their skills and career in high-impact health data research, or a more experienced epidemiologist/data scientist looking to expand their role within a dynamic and specialist team.
You will have:
1. An undergraduate qualification or equivalent in a mathematics, statistics, computing science, scientific or health-related field;
2. Experience of clinical epidemiology or health data science;
3. Experience of data management (e.g. data cleaning and manipulation);
4. Experience of statistical modelling;
5. Proficiency in programming (e.g. statistical programming in R);
6. A strong level of attention-to-detail that is well-suited to handling and analysing large-scale, complex linked datasets.
You will be based in the Institute for Neuroscience and Cardiovascular Research, Queen’s Medical Research Institute, University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ.
The position is funded through an award from the British Heart Foundation and is available immediately for 2 years in the first instance.
Potential applicants who would like to discuss the post are welcome to contact:
Dr Peter Gallacher at: pgallach@ed.ac.uk or
Prof. Neeraj Dhaun (Bean) at: bean.dhaun@ed.ac.uk