JUVENILE DIABETES RESEARCH FOUNDATION/WELLCOME TRUST DIABETES AND 
INFLAMMATION LABORATORY, CAMBRIDGE INSTITUTE FOR MEDICAL RESEARCH, 
UNIVERSITY OF CAMBRIDGE


STATISTICIAN (RESEARCH ASSOCIATE/SENIOR RESEARCH ASSOCIATE)
Salary range £27,428-£35,788; £36,862-£46,696 pa



*Limit of tenure applies



The Diabetes and Inflammation Laboratory (DIL), which has a dedicated 
statistics group, (http://www-gene.cimr.cam.ac.uk/todd/) has been at the 
forefront of recent developments in our understanding of the genetics of 
type 1 diabetes (T1D), with over 50 genetic loci now identified.  We are 
continuing efforts to detect additional genetic loci, localise causal 
variants and understand their function.  Our ability to conduct 
statistical analyses of large datasets derived from evolving 
technologies has been central to our success to date.  Strong links with 
the Cambridge BioResource (http://www.cambridgebioresource.org.uk/ of 
which John Todd is a PI) and the central position of immune cells which 
can be extracted from fresh blood in T1D mean we are ideally placed to 
conduct post-GWAS experiments.



A post-doctoral statistician is required to work within our statistics 
group and collaborate with others in Cambridge.  There are many 
opportunities for statistical development across a variety of projects; 
for example, ongoing work includes:


·      SNP and structural variant discovery and association analysis 
using sequencing data
·      ‘Fine mapping’ of known T1D loci using imputation of sequenced 
variants and dense genotyping data from tens of thousands of 
case-control subjects.
·      Direct analysis at the transcriptome (microarray and RNA-seq) and 
cell phenotype (polychromatic flow cytometric data) level to understand 
the effects of T1D-associated genotypes on immune cells.
·      Alignment of genetic and phenotypic data (often from individuals 
distinct from our case-control series) with genetic disease association 
data, to explore whether phenotypes of interest are likely to mediate 
the disease effect



The post-holder will be expected to conduct statistical analyses of 
large genetic and phenotypic datasets that will require development of 
statistical methods and programming, and communicate results in 
scientific presentations and papers, including preparing grant 
applications, and developing an independent group in the future.  The 
ideal candidate will have a PhD in statistics or a related discipline, 
excellent programming, written and oral communication skills and an 
enthusiasm for using statistics to address scientifically interesting 
questions.  Senior Research Associate status may be available for 
suitable candidates subject to Faculty Board approval.



Applications including a CV and completed Form CHRIS/6 Parts 1 and 3 
only (available at http://www.admin.cam.ac.uk/offices/hr/forms/chris6/) 
should be sent to Ms Jenny Newton, Cambridge Institute for Medical 
Research, Wellcome Trust/MRC Building, Cambridge, CB2 0XY.  Email: 
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*Limit of tenure: 30 September 2015.



Quote Reference: SE00049



Closing date: 31 January 2012.

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