Category: Academic | Department: Faculty of Epidemiology & Population Health | Closing Date: 17 Mar 2016 | We are seeking to appoint a talented statistician to contribute to an important research programme in cancer genomics. The FORECEE consortium (www.forecee.eu) is using the latest genomics technologies, including genetic, epigenetic and microbiotic markers, to develop new tools to predict a woman’s risk of four cancers: breast, ovarian, endometrial and cervical. As a key member of the data analysis team, the post holder will work closely with collaborators in 13 institutions to optimise the development and validation of novel tools for risk prediction. The successful applicant will have a PhD in Genetic Epidemiology, Biostatistics or a related field, with experience of epidemiological data analysis. Knowledge of statistical techniques used with large-scale genetic databases, and demonstrated skills in statistical programming, are highly desirable. The post holder will be required to participate in report-writing and preparation of scientific papers. The post holder will also be expected to contribute to teaching of epidemiological or statistical methods for our post-graduate students, and provide academic support for research students.The post is available on a full-time basis from 1 September 2016 to 31 August 2019. The appointment will be made on LSHTM’s Academic Pathway scale, Grade 5 £32,647-£37,477 per annum depending on qualifications and experience. Applications should be made on-line at our website at jobs.lshtm.ac.uk. The closing date is 17 March 2016 and the reference for this post is EPH-NCDE-02. Online applications will be accepted by the automated system until 10pm on the closing date. Applications should include the name and email contact details of 2 referees who can be contacted immediately if you are shortlisted. Any queries regarding the application process may be addressed to jobs@lshtm.ac.uk. 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. There is no requirement to provide a CV and an answer to any of the criteria such as “Please see attached CV” will not be considered acceptable. Prospective applicants are encouraged to discuss the post with Prof Frank Dudbridge (frank.dudbridge@lshtm.ac.uk).
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See Full Description from Jobs at LSHTM http://bit.ly/1RoC6s9