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    Opportunity: Research Associate in Computational Genomics (#131472) @ University of Oxford -- Oxford, UK
    Submitted by NDORMS, University of Oxford; posted on Wednesday, October 18, 2017

    DESCRIPTION

    We now have an exciting opportunity for a skilled computational biologist to join a growing team led by Dr Stephen Sansom at the Kennedy Institute of Rheumatology (KIR). In this role, you will work in the computational genomics group to develop and run bioinformatics pipelines for the analysis of next-generation sequencing (NGS) data. Taking advantage of our state-of-the-art high-performance compute (HPC) facility you will collaborate closely with KIR scientists to analyse diverse types of genomic data including those from RNA-seq, ATAC/ChIP-seq, micobiome and CyTOF experiments. At the KIR – which is a world-class academic research Institute – researchers are now using such techniques to advance understanding and treatment of diseases such as Rheumatoid Arthritis and Inflammatory Bowel Disease.

    The successful applicant will have the opportunity to further develop his or her bioinformatics skills and to contribute to peer-reviewed research publications. To be considered you should have a degree and/or PhD in bioinformatics (or a related field), strong programming skills and experience with analysis of NGS data.

    Informal enquires to Dr Stephen Sansom are welcomed (stephen.sansom[at]kennedy.ox.ac.uk).

    TERMS

    This opportunity is funded on a 3-year fixed-term contract.

    LOCALE

    Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, Old Road Campus, Oxford

    COMPENSATION

    Grade 7: £31,604 - £38,833 p.a.

    HOW TO APPLY

    For more information and to apply please visit: www.recruit.ox.ac.uk/pls/[...]31472

    Contact Person: NDORMS Personnel Team
    Vacancy ID: 131472
    Contact Phone: 01865 223989
    Contact Email: personnel[at]ndorms.ox.ac.uk

    DEADLINE

    The closing date for applications is 12.00 noon on Monday 6 November 2017.

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