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Associate Professor in Medical Statistics Faculty of Epidemiology & Population Health London School of Hygiene and Tropical Medicine Salary: £54,386 to £59,064 per annum inclusive Closing Date: Friday 19 January 2018 Reference: EPH-MS-22 The Department of Medical Statistics has a long-standing research collaboration with the Dementia Research Centre (DRC) at the Institute of Neurology, UCL. The DRC is a world-leading centre for research in the dementias, whose work focuses on identifying and understanding the disease processes that cause dementia, the factors that influence these disease processes, and how best to support people with dementia and their families. The team of three or four statisticians based at LSHTM, led by Professor Chris Frost, provide statistical advice on all aspects of the design and conduct of a range of clinical studies in dementia, and also carry out the statistical analyses of many of these studies. These studies are broad in scope and include both cross-sectional and longitudinal approaches, observational and interventional studies, using a wide variety of techniques including imaging, fluid biomarkers, and neuropsychology. The post-holder will play a central role in the research collaboration. Their work will involve liaising with the research team at the DRC so as to ensure that all research receives the necessary level of statistical research; co-ordinating the research efforts with the other statisticians; performing much of the analysis themselves and supervising the work of the other statisticians in the team where appropriate. The post-holder will have a PhD in medical statistics or equivalent, a high level of expertise and understanding of statistical and epidemiological methods, an aptitude for innovative methodological and applied research in medical statistics, excellent leadership skills and a track record of effective participation as a statistician in collaborative medical research projects with non-statisticians. Further particulars, including a job description, are available at https://jobs1.lshtm.ac.uk/Vacancy.aspx?ref=EPH-MS-22 This full-time post, based in London, is available immediately and is currently funded until 31 March 2020. Salary will be on the Academic Associate Professor scale in the range £54,386 - £59,064 per annum (inclusive of London Weighting). The post will be subject to the LSHTM terms and conditions of service. Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary "Director's Days". Membership of the Pension Scheme is available. Applications should be made on-line via our website at http://jobs.lshtm.ac.uk. Applications should also include the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to [log in to unmask]<mailto:[log in to unmask]>. Please quote reference REF EPH-MS-22. The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date. The interview date will be Friday 9th February 2018, and shortlisted candidates will also be invited to give a seminar and meet members of both the Dementia Research Centre and the Department of Medical Statistics, LSHTM on Monday 5th February 2018. Informal enquires to Professor Chris Frost ([log in to unmask]<mailto:[log in to unmask]>) You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.