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Position: Research Fellow in Statistics/Data Science
Institution: University College London
Department: UCL Great Ormond Street Institute of Child Health - Population, Policy and Practice
Location: London, United Kingdom
Duties: We seek an ambitious postdoctoral researcher with statistical and quantitative skills and experience in using linked administrative or cohort datasets for research. The successful applicant will take the lead on a Wellcome Trust funded study to develop efficient and transparent methods for linking and analysing longitudinal population studies and administrative data. The post would be suitable for a highly skilled quantitative researcher who wants to address the challenges of using linkage of large administrative datasets to inform policy, service development, and/or methodological advances; This post is funded for 36 months in the first instance
Requirements: Educated to at least MSc level in statistics or a relevant quantitative discipline (e.g. epidemiology, health data science, computer science); Research experience of analysis of large, complex data sets using standard software packages (e.g. Stata, R or SQL); Quantitative skills in analysing large administrative data sources
   
Text: Research Fellow in Statistics/Data Science, - Ref:1805732 Click here to go back to search results Apply Now UCL Department / Division UCL Great Ormond Street Institute of Child Health Specific unit / Sub department Population, Policy and Practice Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?35,328 - ?39,353 per annum Duties and Responsibilities We seek an ambitious postdoctoral researcher with statistical and quantitative skills and experience in using linked administrative or cohort datasets for research. The successful applicant will take the lead on a Wellcome Trust funded study to develop efficient and transparent methods for linking and analysing longitudinal population studies and administrative data. The post would be suitable for a highly skilled quantitative researcher who wants to address the challenges of using linkage of large administrative datasets to inform policy, service development, and/or methodological advances. This post is funded for 36 months in the first instance. Key Requirements Educated to at least MSc level in statistics or a relevant quantitative discipline (e.g. epidemiology, health data science, computer science). Research experience of analysis of large, complex data sets using standard software packages (e.g. Stata, R or SQL) Quantitative skills in analysing large administrative data sources Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6B (salary ?30,922 - ?32,607 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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 25 May 2019 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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