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    Opportunity: Postdoctoral Fellow -- Statistical Geneticist (#81338) @ Wellcome Trust Sanger Institute -- Hinxton/Cambridge, UK
    Submitted by Sam Bowker; posted on Wednesday, November 21, 2012


    Now is an extremely exciting time for the study of human genetic variation. Genes responsible for common human diseases can now be identified by genotyping 1 million or more SNPs across the human genome or by sequencing entire genomes. As a world leader in human genomics, genome informatics, and whole genome DNA sequencing, the Wellcome Trust Sanger Institute (WTSI) is now focusing large-scale genotyping, DNA sequencing, and mathematical analysis on important disease and population genetic questions.


    We are currently seeking a highly talented Postdoctoral Fellow with strong analytical skills to spearhead statistical/computational analysis of the genetics and genomics of PreEclampsia, a serious illness that afflicts mother and fetus during pregnancy and is a leading cause of maternal and fetal death in both the developed and developing world. No genes causing PreEclampsia are known, and the successful candidate will join a leading, newly funded international consortium tasked with identifying PreEclampsia's genetic causes. The position will require efficient analysis and manipulation of genome-wide association scan (GWAS) data consisting of >1 million SNP markers genotyped across the genome in thousands of PreEclampsia cases.

    The position offers scope to develop methods for identifying disease genes and researching related phenomena, and for applying and developing techniques to evaluate whole genome sequence data. The successful candidate will also have the challenge and opportunities afforded by the unusual nature of the PreEclampsia phenotype - whose genetic causes may reside in the genome of the mother, of the fetus, and/or in interaction between the two genomes. The position will also provide opportunity to explore other and more general aspects of disease and population genetics through empirical analysis and/or more abstract, theoretical investigation.


    Essential Skills:
    • A PhD in Quantitative Genetics, Statistics or equivalent is preferred.
    • A strong understanding and proven experience of analysing large datasets for genetic association to discrete and/or quantitative traits in population-based samples
    • A passion for identifying disease genes and for applying and developing analytic techniques to enhance their detection is needed as well as an interest in understanding the genomic and population genetic context in which disease genes reside
    • Excellent written and spoken English are also essential.
    Ideal Skills:
    • Familiar with at least one statistical package (e.g. R/SPLUS, SAS)
    • Programming experience (e.g. Perl, C++, Java) and knowledge of Unix/Linux
    • A firm grasp of the principles of population and mathematical genetics
    A gifted researcher with somewhat less experience but with strong computational, programming and data analytical skills and relevant genetics/biological background and interest would also be considered.


    Postdoctoral Fellows are typically in their first or second postdoctoral position as part of a period of early career research training. The post is a three year fixed-term contract.


    Salary range GBP 28,563 to GBP 35,795 per annum depending on experience

    Successful applicant(s) who have submitted their PhD thesis and are awaiting their PhD award to be confirmed will be placed on a transitional pay point, currently GBP 26,364 per annum. On confirmation applicants will be moved on to the pay scale above.

    The Institute has excellent purpose built facilities on the Genome Campus, Hinxton on the outskirts of Cambridge. We offer a comprehensive range of benefits including a final salary pension scheme and excellent on-site facilities. Further details can be found on our website


    To submit your CV and apply for this job please go to

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    Closing Date: 19th December 2012

    Candidates selected for interview will be notified after the closing date and before the 21st December. First interviews will be held during weeks commencing 7th and 14th January 2013

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