Research Fellow
| Posting date: | 26 August 2025 |
|---|---|
| Salary: | £36,636 to £37,694 per year |
| Hours: | Full time |
| Closing date: | 23 September 2025 |
| Location: | Southampton, Hampshire |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University of Southampton |
| Job type: | Contract |
| Job reference: | 3193025AF |
Summary
A position is available in the Faculty of Medicine at the University of Southampton for a Research Fellow with experience in statistics or epidemiology and an interest in preconception, maternal and child health. The position is based at the MRC Lifecourse Epidemiology Centre, and part of an NIHR-funded programme of research which aims to inform how people can be better supported to plan and prepare for pregnancy and parenthood.
The post holder will lead and contribute to quantitative studies to strengthen the scientific evidence on the importance and impact of health before pregnancy on maternal and child health. They will develop data analysis plans, organise data management, and conduct statistical analysis of national and local routine health datasets, including the Education and Child Health Insights from Linked Data (ECHILD) data resource.
Key objectives are to quantify the effects of preconception intervention scenarios on adverse maternal and child health, health service use and educational outcomes, and on reducing inequalities in these outcomes. The post holder will have the opportunity to explore related questions of interest, and lead and contribute to writing of peer-reviewed publications.
The post holder will work closely with a range of colleagues and partners, including statisticians, health professionals, policy makers and public contributors, to maximise dissemination and impact of the findings and ensure they can inform policy and practice.
You will have a PhD or equivalent professional qualification in statistics or epidemiology, and experience or an interest in medical or public health research. Previous experience of applying statistical methods to epidemiological studies, including causal inference methodology, is desirable. You will possess excellent organisational, communication and computing skills, and have experience of effectively working with multi-disciplinary colleagues and partners.
This position is fixed term and will be offered full time (1.0 fte) for 2 years from the start date (as soon as possible).
Hybrid working options can be discussed, but due to data access requirements it is expected that you spend at least 60% of your time in the office. Part-time applications will be considered.
For an informal discussion about the position, please contact Dr Danielle Schoenaker (D.Schoenaker@soton.ac.uk).
The post holder will lead and contribute to quantitative studies to strengthen the scientific evidence on the importance and impact of health before pregnancy on maternal and child health. They will develop data analysis plans, organise data management, and conduct statistical analysis of national and local routine health datasets, including the Education and Child Health Insights from Linked Data (ECHILD) data resource.
Key objectives are to quantify the effects of preconception intervention scenarios on adverse maternal and child health, health service use and educational outcomes, and on reducing inequalities in these outcomes. The post holder will have the opportunity to explore related questions of interest, and lead and contribute to writing of peer-reviewed publications.
The post holder will work closely with a range of colleagues and partners, including statisticians, health professionals, policy makers and public contributors, to maximise dissemination and impact of the findings and ensure they can inform policy and practice.
You will have a PhD or equivalent professional qualification in statistics or epidemiology, and experience or an interest in medical or public health research. Previous experience of applying statistical methods to epidemiological studies, including causal inference methodology, is desirable. You will possess excellent organisational, communication and computing skills, and have experience of effectively working with multi-disciplinary colleagues and partners.
This position is fixed term and will be offered full time (1.0 fte) for 2 years from the start date (as soon as possible).
Hybrid working options can be discussed, but due to data access requirements it is expected that you spend at least 60% of your time in the office. Part-time applications will be considered.
For an informal discussion about the position, please contact Dr Danielle Schoenaker (D.Schoenaker@soton.ac.uk).
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