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Position: Research Fellow
Institution: University College London
Department: Great Ormond Street Institute of Child Health
Location: London, United Kingdom
Duties: Work collaboratively with methodologists and epidemiologists; Contribute to the development of the roadmap for the implementation of the ETT approaches, including relevant computer code (in R and Stata); Contribute to the analyses of the exemplars; Support the dissemination of the research output, by presenting work at conferences, contributing to teaching for dedicated short course, and maintaining the project’s webpage
Requirements: A PhD in Medical Statistics/Epidemiology/Bioinformatics or a closely related subject; Strong working knowledge of research methods in statistics and epidemiology; Interest in causal inference methods; Research experience of analysing observational data using Stata and/or R; Work effectively and collaboratively
   
Text: Research Fellow, - Ref:1753909 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) ?35,328 - ?39,353 per annum Duties and Responsibilities This is an exciting opportunity for a methodological statistician to develop their career in causal inference applied to observational data. S/he will also have opportunity to gain skills and experience in analysing big data for health research. The post-holder will be a member of a team working to develop guidelines for the "emulate the target trial" framework developed by Hern?n & Robins (2016) for comparative effectiveness research when applied to routinely collected health data. The focus will be on addressing the potential biases arising from the quality of these data and on learning from the substantive analyses of three exemplars arising from linked UK health records. The appointee will be expected to: ? Work collaboratively with methodologists and epidemiologists ? Contribute to the development of the roadmap for the implementation of the ETT approaches, including relevant computer code (in R and Stata); ? Contribute to the analyses of the exemplars; ? Support the dissemination of the research output, by presenting work at conferences, contributing to teaching for dedicated short course, and maintaining the project?s webpage. This post is funded for 36 months in the first instance. Key Requirements The successful candidate will have: ? A PhD in Medical Statistics/Epidemiology/Bioinformatics or a closely related subject; ? Strong working knowledge of research methods in statistics and epidemiology; ? Interest in causal inference methods; ? Research experience of analysing observational data using Stata and/or R; ? Work effectively and collaboratively. 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 on ich.hr@ucl.ac.uk quoting job reference 1753909. UCL Taking Action for Equality Closing Date 12 Nov 2018 Latest time for the submission of applications 23.59 Interview date 19 November 2018 Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact 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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