Postdoctoral Statistician
MRC Biostatistics Unit
Cambridge
£28,007-£32,648 per annum
3 years Fixed Term Post
We undertake research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. A research team under the direction of Dr Chris Wallace aims to develop statistical methods for the analysis of genomic data to improve understanding of human common diseases. Our research is focused on using genetic and genomic datasets to understand the human immune system and its dysregulation in relation to the autoimmune diseases (e.g. type 1 diabetes and rheumatoid arthritis) which collectively affect 5% of the population. Our goal is to understand the genes, cells and pathways which underlie autoimmune diseases, the interactions between these pathways, and the relationships between different autoimmune diseases. Better understanding of the aetiology of these diseases is essential to underpin better treatment strategies.
The proposed initial project focuses on development of latent variable models for genomic regulation, but there exists a wealth of data and you will be encouraged to develop other research interests that are relevant to the goals of the team. The team sits between the MRC Biostatistics Unit (http://www.mrc-bsu.cam.ac.uk) and the University of Cambridge Department of Medicine (http://www.med.cam.ac.uk), both located within the Cambridge Biomedical Campus. You will be located in the Biostatistics Unit, but the available interdisciplinary environment offers you the chance to pursue statistical methodology and apply solutions to novel biological datasets in order to address questions of relevance to human autoimmune diseases. Our group has active collaborations within Cambridge (eg Ken Smith) and the nearby Babraham Institute (Peter Fraser, Mikhail Spivakov), but also with the University of Manchester (Wendy Thomson, Steve Eyre) and UCL (Lucy Wedderburn). For further information on the group and our research, see http://chr1swallace.github.io, and please contact [log in to unmask] with any informal enquiries.
By the time you take up the appointment, you will have a PhD in a strongly quantitative subject, ideally statistics. Experience of managing large datasets and an understanding of genomics would be desirable. Most important are an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive biological importance and disease relevance. You will be supported in your career development with a range of formal courses and on-the-job training.
The MRC is a unique working environment where our researchers are rewarded by world class innovation and collaboration opportunities that the MRC name brings. We have a flexible pay and reward policy, 30 days annual leave entitlement, and an optional MRC final salary Pension Scheme. The post will be in the new MRC Post-Doctoral Training Scheme, which offers formal training programme (including a mentor) together with the payment of additional settlement and training allowances.
To apply, please visit our job board at http://www.mrc-bsu.cam.ac.uk/recruitment/current-vacancies/
complete an Application Form and forward your CV and cover letter to:
[log in to unmask], quoting Reference Number MRCBSU00009
Closing date: 15th June 2016 Interview Date: 29th June 2016
This position is subject to pre-employment screening
The Medical Research Council is an Equal Opportunities Employer
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