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    Opportunity: Senior Data Scientist -- provide data science to support drug discovery in cancer @ Mosaic Therapeutics (MOSAIC) -- Hinxton, UK
    Submitted by Charlie Hathaway; posted on Wednesday, August 18, 2021

    BACKGROUND

    Are you a senior data scientist looking to improve cancer patients' lives?

    Mosaic Therapeutics (Mosaic) was founded in 2020 as a wholly-owned subsidiary of Genome Research Limited (GRL) with the aim of applying a decade of ground-breaking work in the Sanger Institute's Translational Cancer Genomics Laboratory to identify selective vulnerabilities in cancer cells that can be exploited therapeutically. Mosaic's formation was enabled and its activities are being driven by the vision and management of Mathew Garnett and Adrian Ibrahim. Mosaic also continues to benefit as a result of strong support from GRL, as GRL's most recent start-up company We are seeking to recruit a Senior Data Scientist to provide data science support across a range of drug discovery activities using advanced statistical and artificial intelligence algorithms incorporating large scale patient, genomic and functional datasets to guide drug discovery.

    Our capabilities are based on a unique twin platform of experimental CRISPR gene-editing in next-generation tumour organoids and advanced machine-learning and statistical algorithms to selectively identify and exploit the vulnerabilities of different types of cancers. We draw upon a breath of public and proprietary curated data, validated computational pipelines, together with our deep knowledge of cancer therapeutics to provide data-driven insights for cancer drug discovery. The team at Mosaic have pioneered the use of drug and genetic screens in next-generation cancer models for drug discovery, have generated widely used reference datasets and analytical tools and have extensive experience working with pharmaceutical partners to develop new targets and therapies.

    REQUIREMENTS

    • Use a range of computational skills to provide innovative solutions to complex biological problems to gain new insights into multiple aspects of drug discovery. In particular, you should be familiar with using advanced statistical and artificial intelligence algorithms to analyze large biological datasets.
    • You will be expected to work creatively as part of a multi-disciplinary team in a dynamic and rapidly evolving field, delivering high-value IT solutions in a timely fashion.
    • Knowledge of in R, Python or similar
    • PHD in in computer science, bioinformatics, data science or related scientific discipline with experience working in academia or industry or equivalent experience
    • You must have the right to work in the UK.

    LOCATION

    Cambridge, UK

    COMPENSATION

    Salary per annum: £37,865 – £45,359 + bonus

    HOW TO APPLY

    Apply via: jobs.sanger.ac.uk/vaca[...].html

    Please consult the accompanying role profile for a detailed description of the role, responsibilities and requirements.

    POLICY

    We aim to foster a working environment that encourages innovation, excellence, and scientific integrity, empowering all team members to achieve their full potential. We encourage flexible working to assist you to balance your home and work life.

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