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ALLSTAT  February 2010

ALLSTAT February 2010

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Subject:

JOB: Research Associate, University of Cambridge

From:

Chris Wallace <[log in to unmask]>

Reply-To:

Chris Wallace <[log in to unmask]>

Date:

Wed, 17 Feb 2010 11:34:00 +0000

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (69 lines)

STATISTICIAN

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

Wellcome Trust/MRC Building, Addenbrooke's Hospital, Hills Road,
Cambridge, CB2 0XY

STATISTICIAN (RESEARCH ASSOCIATE)

Salary: £27,319-£35,646pa

The DIL (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 40 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.

A post-doctoral statistician is required to work with Dr Chris Wallace
within our statistics group, led by Professor David Clayton
(http://www-gene.cimr.cam.ac.uk/clayton/). There are several current and
upcoming projects which offer opportunities for statistical development,
mainly centred around three themes:

     * SNP and structural variant discovery and association analysis
       using sequencing and CGH array data in families and case-control
       subjects.
     * ‘Fine mapping’ of known T1D loci using dense genotyping data from
       tens of thousands of case-control subjects.
     * Alignment of genetic and phenotypic data (often from individuals
       distinct from our case-control series) with genetic disease
       association data, to explore whether the phenotype appears to
       mediate the disease effect.

The post-holder will be expected to conduct statistical analyses of
large genetic and phenotypic datasets which will require development of
statistical methods and programming, and communicate results in
scientific presentations and papers. The ideal candidate will have a
recent 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.

Informal enquiries to Dr Chris Wallace <[log in to unmask]>
or Professor David Clayton <[log in to unmask]>

Applications including a CV and completed PD18 form (Parts I and III
only) should be sent to Ms Jenny Newton, Cambridge Institute for
Medical Research, Wellcome Trust/MRC Building, Cambridge, CB2
0XY. Email: <[log in to unmask]>. An application form can
be found at http://www-gene.cimr.cam.ac.uk/todd/.

Funding for this post will be available until 31 January 2015 in the
first instance.

Closing date: 19 March 2010 Interview date: 29 March 2010

Quote Reference: SE06298

See also:
http://www-gene.cimr.cam.ac.uk/todd/jobs/statistician_advert.shtml

You may leave the list at any time by sending the command

SIGNOFF allstat

to [log in to unmask], leaving the subject line blank.

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