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    Opportunity: Bioinformatics Team Leader -- Target Discovery @ A renowned, multi-national biopharmaceutical company -- Sweden
    Submitted by Eugene Mc Daid; posted on Monday, November 26, 2018

    Submitter

    BACKGROUND

    A renowned, multi-national Biopharmaceutical company is developing a global discovery sciences unit, focused on applying cutting edge machine learning-based approaches to drug discovery, and is looking for a Team Leader! This exciting opportunity will be responsible for leading a team of four informatics post docs working together to improve biological understanding of target identification.

    RESPONSIBILITIES

    • Managing a team of 4/5 Post-Docs from a variety of disciplines (Imaging, Machine Learning, Biostats)
    • Implementing departmental machine learning based strategy to support drug discovery activities across a range of therapeutic fields
    • Work collaboratively with internal drug discovery projects, therapeutic divisions and platform teams
    • Establish and nurture academic collaborations to drive AI/machine learning based genomic research

    REQUIREMENTS

    • An excellent academic background, with a PhD in Bioinformatics, Statistical Genetics or Data Science and strong publication record
    • Leadership/Supervision experience
    • A strong understanding of machine learning pricipals and how these can be used to advance drug discovery
    • Good understanding of molecular biology, cell biology and genomics

    HOW TO APPLY

    This is a truly exciting opportunity to work on cutting edge science, and use your skills to transform millions of lives by supporting the development of new pharmaceuticals. For more information about this opportunity, email your CV to Emilie Francis at efrancis[at]pararecruit.com. For an informal chat to discuss the position, call Emilie on 0121 616 3477.

    Key words:
    Data Science, Quantitive biology, machine learning, Bioinformatics, Drug Discovery, Target Identification, Discovery sciences, Pre-clinical, Artificial intelligence, Pharmaceutical, Pharma, Genomics, Statistics

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