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
--
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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