Research Fellow in Health Sciences
- University of Surrey
- United Kingdom, SRY
- Jul 25, 2026
Job Description:
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.
The role
This is an exciting opportunity to join a UKRI-funded fellowship project modelling how health and care needs change across England's diverse neighbourhoods as the population ages. You'll work closely with the Fellow (Dr Richard Green) during a focused period at the heart of the project's analytical work. This is a part-time (0.5 FTE) fixed-term contract until January 2027.
You will:
- Support the development of multilevel longitudinal models estimating health transition probabilities (e.g. functional decline, multimorbidity, care dependency) using linked ELSA and neighbourhood-level data
- Contribute to integrating these models into the English Future Elderly Model (E-FEM)
- Help translate modelling outputs into clear visualisations and summaries for policy and practice audiences, including NHS Integrated Care Boards and local authorities
- Work within the UK Data Service's secure research environment, applying rigorous approaches to data management and disclosure control
- Contribute to the preparation of policy briefs and support the planning of stakeholder workshops towards the end of the project
This is a hands-on research role suited to someone who wants to build applied experience in longitudinal and simulation modelling, working on a project with direct relevance to national health and social care policy.
About you
You will have:
- A postgraduate qualification (or equivalent research experience) in statistics, data science, or a related quantitative discipline
- Demonstrable experience conducting statistical or longitudinal data analysis using R (or a similar statistical programming language)
- The ability to work independently on technical tasks while communicating findings clearly to a non-specialist audience
How to apply
To apply, please upload your CV and a cover letter outlining how your experience and skills meet the requirements of the role.
If you would like to discuss the role informally before applying, please contact Dr Richard Green ([email protected]).
Closing Date: 31 Jul 2026
Area: Research & Teaching
Salary: £18,847 to £19,392 per annum pro rata (0.5 FTE)
Fixed Term until 29/01/2027
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Job Description:
The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.
We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.
Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.
The role
This is an exciting opportunity to join a UKRI-funded fellowship project modelling how health and care needs change across England's diverse neighbourhoods as the population ages. You'll work closely with the Fellow (Dr Richard Green) during a focused period at the heart of the project's analytical work. This is a part-time (0.5 FTE) fixed-term contract until January 2027.
You will:
- Support the development of multilevel longitudinal models estimating health transition probabilities (e.g. functional decline, multimorbidity, care dependency) using linked ELSA and neighbourhood-level data
- Contribute to integrating these models into the English Future Elderly Model (E-FEM)
- Help translate modelling outputs into clear visualisations and summaries for policy and practice audiences, including NHS Integrated Care Boards and local authorities
- Work within the UK Data Service's secure research environment, applying rigorous approaches to data management and disclosure control
- Contribute to the preparation of policy briefs and support the planning of stakeholder workshops towards the end of the project
This is a hands-on research role suited to someone who wants to build applied experience in longitudinal and simulation modelling, working on a project with direct relevance to national health and social care policy.
About you
You will have:
- A postgraduate qualification (or equivalent research experience) in statistics, data science, or a related quantitative discipline
- Demonstrable experience conducting statistical or longitudinal data analysis using R (or a similar statistical programming language)
- The ability to work independently on technical tasks while communicating findings clearly to a non-specialist audience
How to apply
To apply, please upload your CV and a cover letter outlining how your experience and skills meet the requirements of the role.
If you would like to discuss the role informally before applying, please contact Dr Richard Green ([email protected]).
Closing Date: 31 Jul 2026
Area: Research & Teaching
Salary: £18,847 to £19,392 per annum pro rata (0.5 FTE)
Fixed Term until 29/01/2027
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