Duties and Responsibilities
We seek an ambitious researcher with strong statistical and quantitative skills and experience in using large longitudinal datasets for research in health or education.
This post is one of four for the Health Outcomes for young People throughout Education (HOPE) study at UCL Institute of Child Health and Institute of Education and UCL Social Research Institute and the University of Cambridge.
The HOPE 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:
1. To investigate the impact of Special Educational Needs and Disabilities (SEND) provision on childrens health.
2. 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 31 months 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.
A DBS check will also need to be carried out once appointed.
A job description and full person specification can be accessed at the bottom of this page.
To apply for the vacancy please click on the Apply Now button below.
If you are unable to apply online please contact ICH Human Resources firstname.lastname@example.org quoting the job reference 1880443.
We particularly welcome female applicants and those from an ethnic minority, as they are under-represented within UCL at this level.
UCL Taking Action for Equality
4 Jan 2022
Latest time for the submission of applications
12 Jan 2022
Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and ‘beacon’ status in advancing gender equality.
Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check.
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.
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