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Description

An exciting opportunity for two 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.  

The 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 Demographic Health Surveys and longitudinal population surveillance systems. You will use advanced statistical methods including structural equation modelling and survival analysis. In addition, you will have the opportunity to provide statistical training for couples-level analyses to researchers in sub-Saharan Africa. 

You will have expertise in programming in Stata, R or latent variable software.

Your contribution to both applied analysis and methodological development will be recognised through authorship on publications, including as first author where appropriate. A track record of peer-reviewed publication is required for level 5 / highly desirable for level 4. Opportunity is provided for further professional development, including applying for future personal funding.

Depending on experience the positions will be appointed at either a Senior Research Fellow (Grade, 5:£39,739 - £46,042) or Research Fellow (Grade 4: £31,406 - £38,587). These are Full Time Fixed Term posts until 31 October 2023.



Requirements

  • A PhD in a relevant subject (Epidemiology, Demography, Medical/Social Statistics, economics, bioinformatics, data science or equivalent) 
  • Advanced statistical skills and experience of using Stata or R 
  • Previous experience analysing longitudinal population, panel or cohort data 
  • An analytical mindset with attention to detail and a drive for rigour 
  • Motivation and ambition to make a personal contribution to Global Health research

Talent from overseas who meet the essential skills are also encouraged to submit an application. 

Job Information

  • Job ID: 60197085
  • Location:
    Southampton, United Kingdom
  • Position Title: Research Fellow / Senior Research Fellow
  • Company Name: University of Southampton
  • Job Function: Research
  • Job Type: Full-Time
  • Job Duration: 1-2 Years
  • Min Education: Ph.D.
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