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Mathematical, Physical and Life Sciences Division

DEPARTMENT OF STATISTICS

 

POSTDOCTORAL RESEARCH ASSISTANT

 

Fixed term appointment of 3 years' duration

Academic-related Research Staff Grade 7:  Salary £28,839 - £35,469 (bar) per annum

Project Title:     Imputation-Based Statistical Methods for Genetic Studies of Human Complex Disease

A fixed-term MRC funded research position of 3 years' duration, is available to work in the research group of Dr Jonathan Marchini, on developing statistical methodology applicable in modern genetic studies, with specific focus on imputation-based methods. Start date for the post would ideally be as soon as possible but is open to negotiation. The well-qualified successful applicant is likely to be appointed at or near the top of the salary scale given above. 

The successful applicant will work on developing and applying new imputation-based methods, with a particular focus on datasets being generated by the next-generation sequencing technologies, such as the 1000 Genome Project. The appointee will work under the direction of Dr Jonathan Marchini.  Candidates should have a strong background in modern statistics and its application, or a related field.  Excellent computational skills are essential and candidates should have, or expect soon to have, a doctorate.  An existing background in genetics would be an advantage but candidates wishing to move into the genetics field are also encouraged to apply. 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] <mailto:[log in to unmask]> .  Further particulars, and how to apply, are  available from http://www.stats.ox.ac.uk, or the address below.

 

Please quote reference:   AM-09-001

 

Closing date for applications : 12 noon,  Friday 10 April 2009

 

Personnel Administration, Department of Statistics, 1 South Parks Road, Oxford, OX1 3TG.  T: 01865 272860.  F: +44 1865 272595

Email:  [log in to unmask] <mailto:[log in to unmask]>