[Next-Generation Sequencing Book]
  • [Photo] Eugene McDaid • September 17, 2020

    BACKGROUND

    Business Purpose:
    Affect the progression of therapeutic projects at all stages of research and phases of clinical development, through the integration, predictive analysis and interpretation of poly-omic data sets.

    Job Scope:
    An essential component in harnessing Big Data from Discovery and Clinical settings to drive translational decision-making across the spectrum of New Medicines therapeutic activities. Ally data science capabilities to biological domain understanding to reveal mechanistic insight into disease and drug action. Develop machine learning, including deep learning approaches to predict targets and potential biomarkers and stratify patients.

    RESPONSIBILITIES

    Job Accountabilities:
    • Affect new target identification, target validation, biomarker discovery and patient stratification using omics data.
    • Establish analytical workflows and develop AI methodologies for integrative analysis of poly-omic data and biological knowledge.
    • Process, analyse and interpret data from omics studies across the portfolio

    REQUIREMENTS

    Education & Qualification:
    • PhD (or equivalent experience)
    Job Specific Skills and Knowledge:
    • A thorough understanding of fundamental concepts in statistics, data mining, and visualization of biological data types and the standard tools used in these domains.
    • Expertise in integrative analysis of multiple omic data types including advanced statistical and machine learning / deep learning methods.
    • Experience of operating in a HPC Unix environment, cloud-based computational and/or pipelining platforms, and proficiency in a range of programming languages common to the bioinformatics community such as Python or R.
    • Ability to interpret and communicate efficiently the outcomes of analytical work to a non-expert audience in order to influence decision-making.

    TERMS

    The position is a temporary 1 year contract but with the potential of extension and we are keen to help the successful applicants grow and develop as early career scientists.

    HOW TO APPLY

    This is a great opportunity for someone to gain valuable experience with a well-respected Bio-Pharma company in the UK.

    Please do not hesitate to contact Harvey Uppal at huppal[at]pararecruit.com or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Data, Science, Machine, Learning, AI, Bioinformatics, Molecular, Biology, Genomics, Deep, Statistics, Workflows, Modelling, Mining, Patient, Stratification, Omics, Visualisation, Pharma

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