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    Opportunity: Computational Biologist (#MI/17/80), the Cancer Research UK Manchester Institute @ University of Manchester -- Manchester, UK
    Submitted by Human Resources; posted on Tuesday, November 28, 2017

    RESPONSIBILITIES

    About the Role:
    We are seeking a highly motivated Computational Biologist within the Cancer Precision Medicine Advanced Cancer Cultures Team which is located within the Clinical and Experimental Pharmacology (CEP) Group to conduct cutting edge translational research on preclinical cancer models. The focus of our research is translational medicine with an emphasis on preclinical therapeutics and precision medicine.

    The aim of precision medicine is to guide patient treatment via profiling of individual tumours. To date, great advances have been made in the characterization and cataloguing of molecular aberrations associated with various cancers, however our ability to translate genomic information into clinical benefit has yielded mixed results. To complement these molecular analyses, we are generating cell culture models from each patient to functionally interrogate tumour biology, including drug response. The advent of advanced cell culture techniques offers tremendous promise in efficiently generating patient-relevant preclinical models in a timely manner, such that laboratory results may be fed back into the clinic to potentially affect clinical decisions.

    In collaboration with physicians at the Christie Foundation NHS Trust, we are generating a biobank of cultures that faithfully recapitulate the tumours from which they were derived. The aim of this post is to help molecularly characterize a library of patient-derived cultures from a variety of cancer types, which will be used to functionally interrogate tumour biology with the goal of translating laboratory results into clinical benefit.

    REQUIREMENTS

    About You:
    You should have at least a BSc in Computational Biology, Mathematics or related discipline plus significant relevant experience analysing genomics data sets. Additionally you should have experience writing complex code in at least one of the following: Pearl, Python, R, Matlab, C, C++ or Java.

    TERMS

    Duration: Fixed term until 31 March 2022

    COMPENSATION

    Salary in the range of £23,800 - £36,000 per annum, dependent upon experience

    HOW TO APPLY

    To apply for this position please visit our website: www.cruk.manchester.ac.uk

    For any informal enquiries about this post, please contact Kris Frese, email: kristopher.frese[at]manchester.ac.uk

    Job Ref: MI/17/80

    DEADLINE

    Closing date: 3 January 2018

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