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Data Scientist in Public Health

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Closing Date: 29/8/2022          

Interview Date: TBC

Part Time : 10.95 – 18.25 hours per week (30%-50% FTE Fixed Term: This post is funded until 31/07/2024 in the first instance.

The salary range will be Grade 7 £36,770 – £44,388 per annum pro rata or Grade 8 £45,610 – £53,757 per annum pro rata, inclusive of London Allowance.

Great Ormond Street Institute of Child Health Population, Policy and Practice London

Data Scientist in Public Health

The appointment will be on UCL Grade 7-8

This role provides a unique opportunity to study for an experienced data scientist to contribute to cutting-edge methodological research linking national data from health and education. Linkage between diverse datasets, and across sectors, is critical to advancing use of data for science, policy and services. The data scientist will help manage the ECHILD (Education and Child Health Insights from Linked Data) research database, and contribute to the HOPE study which aims to which aims to determine the impact of adjustments for special educational needs or disability (SEND) on children’s health. We seek an ambitious researcher with strong quantitative and programming skills and experience in handling large longitudinal datasets. The successful candidate will have access to the vast expertise in using and linking administrative data resources at UCL and within HDR UK London.

The post holder will help establish metrics for evaluating the quality of linkage between different modules of HES and NPD, and of additional health information for which linkage is in development (including, for example, mother-child linkage and UPRN). Working closely with study PIs, the post holder will support investigators, researchers and PhD students to deliver the data needs of existing and new ECHILD research projects.

This post is funded until 31/07/2024 in the first instance.

MSc in relevant discipline (e.g. statistics epidemiology, health data science, computer science) or related experience.  Statistical skills and the ability to perform data extracts using standard software and scripting languages (e.g. Stata, Python, R, SQL). Experience of working within a defined data governance framework and privacy and security issues for highly sensitive records and datasets in a secure setting. Experience of data modelling, curation, and linkage methods for large administrative datasets, working with external data providers and statutory bodies.

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

If you have any questions please contact ICH Human Resources [email protected] quoting the job reference.

Latest time for the submission of applications: 23:59.

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

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

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

To apply click here

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