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    Opportunity: Scientist, Computational Research @ Celgene Institute for Translational Research Europe (CITRE®) -- Sevilla, Spain
    Submitted by Matthew Trotter; posted on Tuesday, February 25, 2014


    We seek a talented machine learner to work on the identification and prediction of clinical phenotypes from high-dimensional tissue, cell and molecular profiling data. The patterns and relationships identified contribute to the enrichment of patient response to both existing and novel therapies.

    The position would suit a post-doctoral researcher, looking to bridge the gap between academic and industrial research environments. The CITRE Computational Research group applies contemporary predictive methods to high-throughput assay data from real patients to improve therapeutic outcomes in complex diseases of unmet medical need.

    Prior biological or clinical expertise is not required - a strong interest in the inter-disciplinary application of predictive methods to life sciences data is imperative. Present areas of interest include: integration of multiple data types and similarity measures; robust incorporation of domain-specific knowledge; and knowledge transfer across multiple datasets.


    Responsibilities include, but are not limited to:
    • Implement and develop contemporary predictive and data visualization algorithms
    • Apply and assess methods on high-throughput profiling and ancillary datasets that arise both from corporate research and the public domain
    • Integrate data across multiple experimental platforms, and transfer knowledge from pre-clinical experiments to clinical trials
    • Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required
    • Contribute to wider group endeavours concerning the elucidation of compound mechanisms of action, drug resistance and prediction of target indications
    • Participate in industry-academic grants, collaborations and partnerships


    Qualifications required include:
    • A Ph.D. in applied computer science from a recognized higher-education establishment
    • Prior post-doctoral experience of inter-disciplinary applied machine learning, in an academic or scientific research scenario
    • Track record of peer-reviewed publication
    • Previous experience of grant-writing and successful funding from national agencies
    • Fluent verbal and written English language skills.


    Proficient verbal and written Spanish language skills would be advantageous.


    Full-time, Permanent contract


    Seville, Spain


    A competitive salary offer, including benefits package, will be made to the successful applicant.


    Those interested in the position described should submit full CV and cover letter addressed to:
    Argiñe Pereda (Apereda [at] celgene [dot] com)
    Paseo de Recoletos 39, 4º
    28004 MADRID

    By sending your application you acknowledge that the information you provide to Celgene will be stored in a database which is the property of Celgene, for the purposes of processing this information. This information may be shared with Celgene affiliates and agents, including Celgene's parent company based in the USA (Celgene Corporation). You understand that you have the right of access to and the right to rectify the data concerning me, according to applicable privacy laws. You understand that these rights can be exercised by sending an email to the following address: privacy[at], and that more information can be found on the privacy policy located on Celgene's web site,[...].aspx.


    March 24th 2014

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