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ALLSTAT  July 2018

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Subject:

Associate Professor in Medical Statistics at LSHTM: closing date 21st August 2018

From:

CHRIS FROST <[log in to unmask]>

Reply-To:

CHRIS FROST <[log in to unmask]>

Date:

Mon, 23 Jul 2018 15:37:02 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (37 lines)

Associate Professor in Medical Statistics
Department of Medical Statistics
London School of Hygiene & Tropical Medicine
Salary:

£54,386 to £62,423 per annum, inclusive.

Closing Date:

Tuesday 21 August 2018

Reference:

EPH-MS-2018-07


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 statisticians (currently three) based at LSHTM collaborate on a range of studies in Alzheimer's disease and other forms of dementia. 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 medical imaging, fluid biomarkers, genetics, and neuropsychology. As well as carrying out the statistical analysis of many of these studies, and advising on the analysis of others, the statisticians are frequently involved with the design and conduct of these studies,

The person appointed to the position will play a central role in the research collaboration. Their work will involve close collaboration with the senior research team at the DRC, providing statistical leadership and ensuring that all research receives the appropriate statistical input. They will coordinate the research efforts with the other statisticians, conducting analysis themselves and supervising the work of the other statisticians in the team where appropriate. The appointee will also participate in collaborative bids for external research funding, and also seek funding to develop their own research interests in statistical developments that are of relevance to dementia.

The person appointed requires 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.

The post is available immediately and is currently funded until 31 March 2020. Salary will be on the Academic Pathway Associate Professor scale in the range £54,386 - £62,423 per annum inclusive. The post is full-time, although part-time working will also be considered, at a minimum of 0.7 FTE. The post will be subject to 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. The post is based in London, Keppel Street.

Applications should be made on-line via our website https://jobs.lshtm.ac.uk/Vacancy.aspx?ref=EPH-MS-2018-07. Online applications will be accepted by the automated system until 10pm of the closing date. Applications should 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]

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.


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