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Research Assistant / Research Fellow in Public Health Data Science

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

Location: London
Salary: £32,217 to £44,388 Grade 6B/7, per annum, inclusive of London Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th April 2022
Closes: 26th May 2022
Job Ref: 1884090
 

Fixed Term: This post is funded for 18 months in the first instance.

Salary: The salary range will be Grade 6B £32,217 - £33,958 per annum or

Grade 7 £36,770 - £44,388 per annum, inclusive of London Allowance.

We seek an ambitious researcher with strong statistical and quantitative skills and experience in using large longitudinal datasets.  This post is an opportunity to analyse a newly created de-identified database to provide an evidence base for policy on the health needs of mothers involved in the public law family courts.  The project will provide evidence for national policy on responding to the health needs of mothers involved in family court proceedings. The study uses novel linkage between national hospital data and public family court proceedings from Cafcass. The project aims to investigate health before during and after court proceedings, time to next pregnancy and variation in health and risk factors across England.

Result from this work will be relevant to health, judicial and social care services.  The project is also ideal for an early career researcher to develop a fellowship proposal building on novel data, which is accessible for the first time in England.  This post is funded for 18 months in the first instance.

MSc or PhD in relevant discipline (e.g. epidemiology, statistics, health informatics) or related experience.  Quantitative skills in analysing large longitudinal administrative data.  Proficiency in statistical software packages (e.g. STATA, R) for quantitative analysis of large longitudinal administrative data.  Working knowledge of data linkage techniques and statistical methods.  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 ICH Human Resources quoting the job reference.

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

Interview Date: TBC

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

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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