Research Fellow / Senior Research Fellow in Public Health Data Science

Updated: about 1 month ago
Location: London, ENGLAND
Job Type: FullTime
Deadline: 02 Jun 2021

Great Ormond Street Institute of Child Health

We seek an ambitious postdoctoral researcher with statistical and quantitative skills and experience in using large longitudinal datasets for research in health or education. 

The successful applicant will have a coordinating role in a team of researchers working together to share skills and knowledge to develop diverse, qualitative and quantitative methods to enable wider use of a unique data resource to inform policy, services and practice. 

This post is one of four for the “SPECIAL Study” at UCL Institutes of Child Health and Education, and the University of Cambridge. 

The SPECIAL Study will exploit a novel linkage of administrative data from hospitals and schools for all children in England (the ECHILD database) to address two aims: 

  • To investigate the impact of Special Educational Needs and Disabilities (SEND) provision on children’s health. 
  • To establish methods, tools and exemplars for ongoing evaluation of the inter-relationships between SEND provision and health. 
  • Meeting these aims will improve the understanding of the impact of SEND provision in schools on health outcomes and drivers of educational outcomes. The research is intended to inform decisions made by policy makers, service providers, practitioners across health and education, children and families, and researchers. 

    This post is funded for 3 years in the first instance. 

    PhD in relevant discipline (e.g. epidemiology, statistics, health informatics) or related experience 

    Experience of data management, curation, linkage and analysis methods for large, administrative datasets 

    Advanced skills in at least one statistical software package (e.g. STATA, R, SQL) 

    Experience of working in multi-disciplinary teams and multi-institutional and international collaborations 

    Excellent writing and presenting skills, and the ability to explain technical and/ or scientific reports to a wide range of scientific and lay audiences. 

    Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above. 

    If you are unable to apply online please contact Khaled in ICH Human Resources at ich.hr@ucl.ac.uk quoting the job reference. 

    Latest time for the submission of applications: 23.59. 

    Interview Date: TBC 

    UCL Taking Action for Equality. 

    Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.


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