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    Opportunity: Bioinformatician -- Immuno-Oncology @ A global pharma -- Hertfordshire, UK
    Submitted by Eugene McDaid; posted on Friday, February 12, 2021



    This is a Senior Scientist level role working within the Data and Translational Sciences team of a global pharma. The organisation are pushing ahead a digital transformation agenda across the entire company and this is a great opportunity to participate in and drive the innovations that will continue transform the ways in which we gain insights from an ever-growing digital landscape in the use and development of medicines.

    Within this role you will be part of a dynamic team supporting the discovery and development of innovative cancer treatments and will engage with experts in drug discovery and immuno-oncology to better understand the mechanisms underlying cancer progression and treatment resistance. Relying on state-of-the-art single cell and spatial omics techniques, you will actively contribute to building novel approaches to overcome current therapeutic challenges.

    This position plays an essential role in harnessing Big Data from Discovery and Clinical settings to drive translational decision-making in the company's early (immuno-)oncology portfolio.

    You will align 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. You'll 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.


    • Provide bioinformatics support for new target identification, target validation, biomarker discovery and patient stratification using omics data.
    • Process, analyse and interpret data from omics studies across the portfolio with a primary focus on immuno-oncology.
    • Collaborate with a diverse team of experts within the company including fellow bioinformaticians, biologists and physicians; communicate and present results and insights to these internal stakeholders as well as external partners.
    • Establish analytical workflows and develop AI methodologies for integrative analysis of poly-omic data.


    • PhD (or equivalent) in Bioinformatics, Computer Science, Biology, Molecular Genetics or an equivalent scientific discipline, with significant experience in computational biology or data science.
    • A thorough understanding of fundamental concepts in statistics, data mining, machine learning, and visualization of high-dimensional 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.
    • Good understanding of biology in general and affinity with the most prevalent disease mechanisms in oncology/immuno-oncology.


    There are some great benefits on offer with this role including a competitive salary, pension, and the opportunity to work with some of the best talent in the industry.


    Please contact Harvey Uppal at huppal[at] or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Bioinformatics, Senior, Scientist, Immunology, Oncology, Cancer, Analysis, Bioinformatics, Genomics, Single-Cell, Omics, Python, Machine, Learning, AI, Statistical, Target, Discovery, Python, UK

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