Statistical Methods for the Analysis of Genome-Wide Association Studies (3 years)
Academic-related Research Staff Grade 1A: Salary: £ 20044 to £ 30002 (bar) p.a. (subject to review
from 1 August 2006 as part of the implementation of the National Framework Agreement for staff in
higher education)
A 3-year fixed-term research position, funded by the US National Institute of General Medical
Sciences (NIGMS), is available to work jointly with the research groups of Professor Peter Donnelly
and Dr Jonathan Marchini, on statistical issues in modern genetic studies. The start date for the
post is negotiable but would ideally be as soon as possible. Well-qualified successful applicants
are likely to be appointed at or near the top of the salary scale given above.
The post relates to the development, study, and application of novel statistical methods for
genome-wide association studies for human diseases. The research will involve a collaboration with
10 other research groups funded as part of a consortium called ENDGAME (ENhancing Data analysis for
Genome-wide Association MEthods). In addition, the Donnelly and Marchini groups are closely involved
in the Wellcome Trust Case Control Consortium, (chaired by Donnelly) which is currently generating
data for genome-wide association studies for 2,000 cases and 3,000 controls for each of eight common
diseases. This post thus combines the opportunity to work in leading analytical research groups at
the cutting edge of major empirical studies.
Candidates should have a strong background in modern statistics and its application. An existing
background in the application of statistics to genetics would be an advantage, but candidates
wishing to move into the genetics field are also welcome to apply. Good computational skills are
essential and candidates should be able to program in a low level language such as C or C++.
Candidates should have, or expect soon to have, a doctorate. The Department of Statistics in Oxford
is one of the largest and strongest in the UK, and a world leader in statistical genetics.
Informal enquiries should be directed to [log in to unmask] and/or [log in to unmask]
Further particulars will be available from http://www.stats.ox.ac.uk, or the address below.
Applications should comprise a curriculum vitae and a list of publications together with the names,
addresses, telephone, fax and e-mail details of three referees.
Applications (7 copies, one copy for candidates outside the UK) should be submitted to Personnel
Administration, Department of Statistics, 1 South Parks Road, Oxford, OX1 3TG. Applications faxed to
+44 1865 272595 or e-mailed to [log in to unmask] are acceptable as long as they are followed by
hard copy. Please always quote reference number: AM-06-005.
The closing date for applications is Friday, 9 June 2006
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o__ Jonathan Marchini
c/ /'_ Department of Statistics, University of Oxford
(+) \(+) 1 South Parks Road, Oxford, OX1 3TG
tel : ++44 1865 271125 web : http://www.stats.ox.ac.uk/~marchini/
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