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The goal of the project is to develop better statistical methods to improve the feasibility and effectiveness of pharmacogenetics. The focus will be on the development of computational Bayesian methods, particularly for prediction of outcomes and for meta-analyses, for the analysis of multivariate phenotype data, and for allowing for the effects of population structure and cryptic relatedness. These methods will be applied to several internationally unique pharmacogenetic datasets, including genome-wide-genotyped prospective cohorts of drug response in epilepsy and Parkinson’s disease.
The post is funded for at least three years by a grant from the Methodology Research Programme of the Medical Research Council and the National Institute for Health Research.
The postholder will be expected to work closely with our clinical collaborators to develop novel statistical methods using genetic markers and available covariate data, and to implement them in efficient and user-friendly software for use in clinical practice. The successful applicant will have research expertise in modern statistical and computational methods used for genetics data.
The successful applicant will be able to program effectively in a high-level language such as C or Java. A PhD in a relevant subject, or equivalent research experience, is required.
Salary: £31,778 - £40,634 per annum
Informal enquiries should be addressed to Professor David Balding email: [log in to unmask] (020 3108 4005).
For a full job description please use the link at www.ucl.ac.uk/ugi/vacancies
Applications via the UCL HR website (http://www.ucl.ac.uk/hr/jobs/) by 4:30pm on 16 Jun 2010
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UCL Genetics Institute
2nd Floor, Kathleen Lonsdale Building
5 Gower Place, London WC1E 6BT
Ph +4420 3108 4005 internal 54005
Mob +4475 9025 0432
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