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An enthusiastic individual with a background in statistics, epidemiology or a related discipline is sought for a post based at the Administrative Data Research Centre for England (ADRC-E) within the Farr Institute for Health Informatics Research on the UCL Bloomsbury campus. The post will be at the cutting-edge of research into linkage of various administrative data from different government sectors – such as financial, health, crime, education and geospatial records. The research will focus on developing and evaluating methods for linking data and for taking linkage error into account in analyses relevant to policy and services. The post offers unrivalled training in and experience of complex, longitudinal administrative databases. The post aims to support methods development to enable innovation by government data providers and researchers to support more efficient use of administrative data. The post offers an excellent opportunity for a post-doctorate statistician/quantitative scientist to establish a leading role in developing and evaluating improved methods for addressing linkage error in large administrative datasets. The post holder will gain experience from working in a multidisciplinary research environment with access to expertise within the ADRC-E, the Farr Institute, and government data providers. There will be opportunities for collaboration with or supervision of other researchers using administrative data. There will be numerous training opportunities in a wider range of related areas within UCL and the ADRC-E. This post is initially funded until the 30th Sept 2018 in the first instance, full time on UCL Grade 8. The ideal candidate will have a PhD in statistics or a related quantitative science or equivalent experience in a related area, experience of conducting quantitative methodology research and experience in handling and analysing administrative datasets. Proven ability and commitment to carry out high quality original research is essential as is the ability to plan and implement statistical analyses of large longitudinal datasets. If you have any queries regarding the vacancy please contact Ruth Gilbert on [log in to unmask]<mailto:[log in to unmask]>. For any queries on the application process, please contact Andrew Parsons in ICH HR on [log in to unmask]<mailto:[log in to unmask]> quoting reference number 1553674. Closing date in June 19. You can view the full ad and apply here<http://www.jobs.ac.uk/job/ANT440/senior-research-associate-in-statistics-for-administrative-data-research/>. You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.