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Position: Research Assistant/Research Fellow in Public Health Data Science
Institution: University College London
Department: Great Ormond Street Institute of Child Health - Population, Policy and Practice
Location: London, United Kingdom
Duties: We seek an ambitious researcher with strong statistical and quantitative skills and experience in using large longitudinal datasets. 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
Requirements: 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
   
Text: Research Assistant / Research Fellow in Public Health Data Science, - Ref:1884090 Click here to go back to search results Apply Now UCL Department / Division Great Ormond Street Institute of Child Health Specific unit / Sub department Population, Policy and Practice Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6B £32,217 - £33,958 per annum or Grade 7 £36,770 - £44,388 per annum Duties and Responsibilities 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. Key Requirements 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. Further Details 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 quoting the job reference. 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 Closing Date 26 May 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Gold award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job description and Person specification Apply Now
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