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    Opportunity: CGAT Genomics Training Fellow (two 3 year posts) (#109322) @ MRC Functional Genomics Unit at the University of Oxford -- Oxford, UK
    Submitted by Dr Vivienne Collins; posted on Tuesday, August 20, 2013

    BACKGROUND

    We are looking for two ambitious, numerate and self-motivated scientists interested in computational genomics and the biological interpretation of next-generation sequencing data. These are training positions, offering a rare opportunity for scientists to transition from a biological or biomedical background to future independent careers in genome research. As a CGAT Fellow you will acquire computational expertise and skills required to take full advantage of recent exciting advances in sequencing technologies.

    Professor Chris Ponting was initially awarded five years' funding to establish a Strategic Programme in Computational Genomics Analysis and Training (CGAT; www.cgat.org) within the MRC Functional Genomics Unit in Oxford. CGAT has been training 8 postdoctoral scientists in computational genomics thereby providing expertise and added value to other UK-wide institutions. Funding for this programme has recently been extended and we are seeking to recruit two further scientists.

    RESPONSIBILITIES

    Each Fellow will be assigned to diverse genomics projects that all focus on the analysis and biological interpretation of next-generation sequence data. Projects are collaborative involving scientists from across the UK. Training will be provided through close coaching by a senior CGAT scientist, as well as through tailored courses and tutorials.

    CGAT Genomics Training Fellows each report to one of two CGAT Senior Post-doctoral Scientists and liaise closely with the Bioinformatics Systems Administrator, the CGAT Research Manager and other CGAT staff. S/he will also liaise with the MRC sequencing hubs, Sanger and TGAC and with UK scientists.

    REQUIREMENTS

    • PhD in biology, medical biology, medicine or a field relevant to computational genomics.
    • Strong interest in genome research.
    • Excellent interpersonal skills, able to work independently and within a team.
    • Excellent communication skills, both oral and written.
    • Good working knowledge of office software.
    • Excellent organisational skills – managing both time and records effectively.
    • Numerate, and able to use own initiative to solve problems.

    PREFERENCES

    • Publication track record.
    • Genetics/genomics and biomedical experience.
    • Experience of being a key participant in cross-disciplinary collaborations.
    • Ability to script/program.
    • Evidence of multi-tasking and working to deadlines.
    • Knowledge of statistical methods.

    TERMS

    These three-year, fixed term training positions are available from October 2013.

    LOCALE

    The MRC Functional Genomics Unit (FGU) at the University of Oxford is a strategic alliance between the MRC and the University of Oxford. The FGU is embedded within the Department of Physiology, Anatomy and Genetics and, from 1 July 2013, became a fully integrated University Unit.

    The FGU is a world-renowned centre for comparative genomics and research into neuromuscular and neurodegenerative disorders. Its research combines the power of computational analyses and the latest experimental technologies in model organisms to reveal the roles of genes and genomes in health and disease. The Unit then pursues the translation of these discoveries into improved healthcare products and patient treatments via partnerships with clinicians as well as the pharmaceutical and biotechnology Industries.

    The FGU offers excellent computational and laboratory facilities in the recently-opened Henry Wellcome Building of Gene Function. Additional information about the Unit can be found at www.mrcfgu.ox.ac.uk.

    COMPENSATION

    Salary range: GBP 26,264 - 29,541 dependent on experience, plus excellent supporting benefits.

    HOW TO APPLY

    Applications must be made online. To view further details and to apply, visit:
    www.ox.ac.uk/abou[...].html and quote vacancy ID 109322.

    DEADLINE

    The closing date for applications is 12.00 midday GMT on Wednesday 18 September.

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