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Position: Research Associate in Epidemiology/Biostatistics
Institution: University College London
Department: UCL Institute of Child Health
Location: London, United Kingdom
Duties: The post offers an exciting opportunity to conduct rigorous research in a multidisciplinary environment where the researcher will gain experience in using large administrative healthcare datasets to inform child health policy and practice. The post holder will be encouraged to work across the five themes within CPRU and to work with cross-cutting themes on health economics and qualitative research
Requirements: PhD (or about to submit a PhD) in statistics, quantitative social science or epidemiology using large datasets or related area (or equivalent experience) Research experience of analysis of large, complex data sets using standard software packages (e.g. Stata or R) Experience of accessing and using routine healthcare data or other similar administrative data. Experience of writing papers for peer-reviewed journals Experience in reviewing health, education or social care policy and/or generating research-informed policy and practice recommendations
   
Text: Research Associate in Epidemiology / Biostatistics , - Ref:1681361 Click here to go back to search results Apply Now UCL Department / Division UCL Institute of Child Health Specific unit / Sub department Population, Policy and Practice Grade 7 Hours Full Time Salary (inclusive of London allowance) Grade 7 (?34,635 - ?41,864 per annum) Grade 8 (?43,023 - ?50,753 per annum) Duties and Responsibilities This post is part of a programme of research within the Policy Research Unit in the Health of Children, Young People and Families (CPRU), funded by the Department of Health. The post will form part of the healthcare provision theme of CPRU. The group is based at UCL GOS Institute of Child Health and sits within the Population, Policy and Practice Programme, which consists of a multi-disciplinary group of researchers with an international reputation for population-level and clinical research that influences public health policy and practice. The post offers an exciting opportunity to conduct rigorous research in a multidisciplinary environment where the researcher will gain experience in using large administrative healthcare datasets to inform child health policy and practice. The post holder will be encouraged to work across the five themes within CPRU and to work with cross-cutting themes on health economics and qualitative research. This post is funded until 31 December 2018 in the first instance and depending on the experience and qualifications of the successful applicant at the point of recruitment, the salary may be higher or lower than that advertised. Key Requirements PhD (or about to submit a PhD) in statistics, quantitative social science or epidemiology using large datasets or related area (or equivalent experience) Research experience of analysis of large, complex data sets using standard software packages (e.g. Stata or R) Experience of accessing and using routine healthcare data or other similar administrative data. Experience of writing papers for peer-reviewed journals Experience in reviewing health, education or social care policy and/or generating research-informed policy and practice recommendations. Further Details A job description and person specification can be accessed at the bottom of the page. To apply for the vacancy please click on the ?Apply Now? button below. If you have any queries regarding the vacancy or the application process, please contact ich.hr@ucl.ac.uk UCL Taking Action for Equality Closing Date 11 Nov 2017 Latest time for the submission of applications 23:59 Interview date 24 November 2017 Our department holds an Athena SWAN Silver award, in recognition of our commitment and success in addressing 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 the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job description Apply Now
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