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Position: Research Fellow (Quantitative Methods)
Institution: University College London
Department: Social Research Institute - IOE, UCL's Faculty of Education and Society
Location: London, United Kingdom
Duties: We seek an ambitious postdoctoral researcher with strong quantitative skills, including experience in using administrative or cohort datasets for population health or policy research to undertake analyses of longitudinal linked administrative data for an NIHR study about health visiting in England for vulnerable children. The post holder will also contribute to planning for oter parts of this large mixed methods study
Requirements: You will have a completed relevant PhD (e.g. in epidemiology, statistics, public health, quantitative social science, mixed methods social science, population health sciences, public health) or be an exceptional PhD candidate willing to interrupt your studies. You will have a strong understanding of data security, governance and confidentiality issues and regulations with a commitment to comply with data security and governance; You will also have evidence of excellent quantitative skills, including in accessing, preparing and analysing administrative or other large longitudinal quantitative data for research that informs policy and practice related to public services, using appropriate statistical software (e.g. STATA, R) and the ability to work independently and collaboratively as part of a team to strict deadlines
   
Text: Research Fellow (Quantitative Methods), - Ref:1884337 Click here to go back to search results Apply Now UCL Department / Division Social Research Institute Specific unit / Sub department IOE, UCL's Faculty of Education and Society Location of position London Grade 7 Hours Full Time (Job share considered) Salary (inclusive of London allowance) £36,770 to £44,388 per annum Duties and Responsibilities We seek an ambitious postdoctoral researcher with strong quantitative skills, including experience in using administrative or cohort datasets for population health or policy research to undertake analyses of longitudinal linked administrative data for an NIHR study about health visiting in England for vulnerable children. The post holder will also contribute to planning for oter parts of this large mixed methods study. This exciting post is based at the Social Research Institute, a multi-disciplinary department comprising 80 academic and research staff from across social science disciplines, including sociology, social policy, economics, psychology, demography and anthropology. It is home to two undergraduate degrees, four masters programmes, and thriving doctoral community across five research centres, one of which is the Thomas Coram Research Unit where this post will be based. Thomas Coram Research Unit is with, a leading research centre in the area of families, children and parenting. The successful candidate will also spend time at UCL Great Ormond Street Institute of Child Health (ICH) and will and benefit from this department's concentration of expertise in quantitative child health research and research using linked administrative data. You will also have opportunity to be part of our engagement with policy-makers within Department of Health and Social Care in order to inform national and local policy. This post is a 12 month maternity cover from May 2022. Key Requirements You will have a completed relevant PhD (e.g. in epidemiology, statistics, public health, quantitative social science, mixed methods social science, population health sciences, public health) or be an exceptional PhD candidate willing to interrupt your studies. You will have a strong understanding of data security, governance and confidentiality issues and regulations with a commitment to comply with data security and governance. You will also have evidence of excellent quantitative skills, including in accessing, preparing and analysing administrative or other large longitudinal quantitative data for research that informs policy and practice related to public services, using appropriate statistical software (e.g. STATA, R) and the ability to work independently and collaboratively as part of a team to strict deadlines. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for this vacancy please click the 'Apply Now' button at bottom of this page. For further information on this post, please contact Dr Jenny Woodman (email: j.woodman@ucl.ac.uk) UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 26 May 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to 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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