Quantitative Senior Research Fellow x3

Updated: 3 months ago
Location: Southampton, ENGLAND
Deadline: 11 Dec 2023

Population Sciences


Southampton General Hospital


£44,263 to £56,021 Per annum
Full Time Fixed Term (until 31/10/2024)

Closing Date:  

Monday 11 December 2023

Interview Date:  

To be confirmed



An exciting opportunity for three quantitative scientists to work on a Global Health research programme in the School of Primary Care, Population Sciences and Medical Education, within the Faculty of Medicine, based at Southampton General Hospital with hybrid working.  

These positions are funded by the National Institute of Health Research through a Global Health Professorship awarded to Professor Nuala McGrath. The CHERISH programme focuses on couples’ health in sub-Saharan Africa, and is a partnership between the University of Southampton and two South African institutions: Human Sciences Research Council and University of Cape Town. 

The aim of the research is to investigate protective health effects associated with being in a couple (marital or cohabiting), and measure the influence that partners have on each other’s health behaviours and health outcomes in sub-Saharan Africa. 

You will analyse secondary, population health data available from cohorts, Demographic Health Surveys and longitudinal population surveillance systems. You will use advanced statistical methods including discrete survival analysis, generalised linear mixed models and generalised estimating equation models., and your contributions will be recognised through authorship on publications, including as first author where appropriate.

 Depending on experience the position will be appointed at Senior Research Fellow (Grade, 5: £44,263 to £56,021 per annum). There are 3 a Full Time Fixed Term posts with an end date of 31st October 2024.

Essential Skills 

  • A PhD in a relevant subject (Epidemiology, Demography, Medical/Social Statistics, economics, bioinformatics, data science or equivalent) with a good working knowledge of epidemiology concepts and / or population processes
  • Evidenced advanced statistical skills and experience of using Stata or R 
  • Evidenced experience analysing longitudinal population, panel or cohort health data (beyond cross-sectional) and reporting of health (or closely related) research studies
  • A track record of peer-reviewed publications as first author 
  • Ability to communicate complex statistical information clearly, in non-technical language, both verbally and in writing to a range of audiences
  • Experience in Global Health research

Interviews will be held by Zoom / Teams soon after the closure date. The position is tenable as soon as possible. Informal inquiries may be made to Prof. Nuala McGrath via email: [email protected]  

Please can all applicants submit a CV with their application.

Further details:

We are committed to equality, diversity and inclusion and welcome applicants who supports our mission of inclusivity.

Apply by midnight on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or [email protected] quoting the job number.

Similar Positions