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    Senior Scientist, Biology - Mississauga, ON, Canada - AstraZeneca GmbH

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    Description
    AstraZeneca is a global, science-led, patient-focused biopharmaceutical company.

    It is dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions for some of the world's most serious diseases.

    At AstraZeneca Oncology, we are leading a revolution to redefine cancer care by pushing the boundaries of science to change the practice of medicine and transform the lives of patients living with cancer.

    Working with one of the broadest and deepest Oncology pipelines in the industry offers the exciting opportunity to impact the most novel molecules throughout development stages.

    The Early Data Science group delivers actionable insights through the application of computational science to all areas of AstraZeneca's Oncology portfolio.

    It has substantial expertise and outstanding track record in bioinformatics and data science, undertaking both portfolio applied informatics research and the development of ground-breaking capabilities.

    Do you have expertise in bioinformatics/computational biology and immuno-oncology? Do you have a passion for turning scientific discoveries and insights into life-changing medicines? The Early Data Science group is growing to meet the strategic challenges pursued by AZ Oncology.

    We are looking for a hardworking and motivated Senior Scientist to join our Late IO Bioinformatics team. The role will focus on our expanding portfolio of immuno-therapy containing regimes in clinical stage. Analyze late-stage clinical trials in immunotherapies to provide biological insights into patient response, using clinical data and rich patient genomic data, and guide clinical development strategies for future trials
    Apply the latest computational/systems biology approaches to the wealth of AZ Oncology clinical trial and real-world data; proactively devise and implement innovative bioinformatic solutions with a focus on immuno-oncology
    Use your knowledge of cancer biology, drug development and data science to deliver actionable impacts for cross-portfolio tumor strategy
    Collaborate closely with our Translational Medicine Leads to drive effective data generation from clinical trials and help address technology/analytics gaps
    Contribute bioinformatics expertise to the application and development of cutting-edge technologies in key strategic growth areas
    Publish work in high impact journals with industry and academic partners to increase visibility of AZ data science
    Relevant PhD (or equivalent graduate degree plus proven applied experience), combining technical expertise in computational biology, bioinformatics, data science or applied biostatistics
    A solid understanding of the molecular and/or immunological mechanisms driving cancer
    Skilled in effective communication of complex data, analysis and results to non-computational scientists and partner lines
    Familiarity with bioinformatics algorithms and toolkits; Programming proficiency in a Linux environment of high performance computing
    Experience and knowledge with data from clinical trials is strongly desired;

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