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Position: Research Fellow in Causal methods for Public Health
Institution: University College London
Department: Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Location: London, United Kingdom
Duties: We seek an ambitious postdoctoral researcher with statistical and quantitative skills and experience in using large longitudinal datasets for research in health or education
Requirements: 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
   
Text: Research Fellow in Causal methods for Public Health, - Ref:1876060 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 Programme Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £40,125 per annum Duties and Responsibilities We seek an ambitious postdoctoral researcher with 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 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: 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 3 years in the first instance. Key Requirements 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. 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 Khaled in ICH Human Resources at ich.hr@ucl.ac.uk quoting the job reference. UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 27 May 2021 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 Apply Now
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