[Next-Generation Sequencing Book]
  • [Photo] Eugene McDaid • August 21, 2018

    BACKGROUND

    A thriving Biotech specialising in developing pioneering diagnostic technologies for early stage cancer detection have released a brand new opportunity for a talented Data Scientist to join their team. This is a fantastic opportunity that is suitable to a forward thinking, machine learning enthusiast with a passion for genomics and personalised medicine.

    RESPONSIBILITIES

    What the role looks like:
    • Developing algorithms and imaginative machine-learning based solutions to gain insight from high-throughput sequence data
    • Performing bespoke analysis of genomic data
    • Identifying biomarkers from complex data
    • Testing and maintaining the functionality of their inhouse biomarker discovery platform

    REQUIREMENTS

    What you should look like:
    • Machine Learning/Algorithm/AI enthusiast
    • Experience working with high-throughput/NGS data including RNA-seq, DNA-seq, CHIP-seq, WGS, WGBS
    • Strong programming skills, fluent in one or more data science languages eg. Python, Matlab, R, Julia
    • Knowledge/experience working with epigenetic data/methylation/whole genome bisulphate sequence data would be highly desirable (but not essential!)
    • MSc with significant industry experience or PhD/Post-doctoral experience in a related numerate discipline eg. Computational Biology, Mathematics, Physics, Statistical Genetics or Machine Learning, Bioinformatics
    • Understanding of biomarker discovery or cancer genomics would be really useful

    COMPENSATION

    What's on offer:
    • Fantastic, flexible work environment surrounded by talented data scientists
    • Lovely, brand new offices
    • Stimulating projects, and access to cutting edge technologies
    • Competitive salary/benefits package

    HOW TO APPLY

    For more information about this or any of our other fantastic data science/genomics opportunities, call Emilie for a chat on 0121 616 3477 or send across a copy of your CV to efrancis[at]pararecruit.com to book in a call.

    Key words: Cancer, Genomics, Biomarker Discovery, Data Science, Biomathematics, Physics, Algorithms, Statistical Genetics, Machine Learning, Biotech, Oncology, Cambridge, Transcriptomics, Epigenetics

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