Lock Applications for this job are now closed
    Closing soon

    Are you ready to apply your software development skills and engineering expertise within the Oncology Data Science Platform? We create software tools for image analysis applications used in Research and Develop for finding cures for cancer. AstraZeneca is a company that always follows the science and turns ideas into life changing medicines. If this sounds like a role you are excited about AstraZeneca might be the one for you!

    About AstraZeneca

    At AstraZeneca, we put patients first and strive to meet their unmet needs worldwide. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person.

    Oncology Data Science Platforms

    The Oncology Data Science – Data, Analytics, and AI Platforms (ODSP) team comprise multiple groups across the Cambridge UK, Boston MA, Gaithersburg MD, and Munich DE sites.  ODSP develops technology, software, and data infrastructure to advance our Oncology data science. Our vision is to evolve data science into a driver of innovation within Oncology. We do this by creating a strategic culture that values our data as a true business asset, organizing our data so that it’s accessible and easy to find, integrated, and re-usable for Humans & AI, and building the best data computational tools to support scientific decision making.

    What you’ll do

    There is an exciting opportunity for a talented and motivated bioinformatics engineer, eager to bring NGS data together in new ways. In this role, you will:

    • Develop, test, and support data analysis tools and pipelines for Omics.
    • Build scalable (Cloud and HPC), robust, well tested solutions that work on tens of thousands of CPUs.
    • Develop and maintain a in depth understanding of the scientific and technological domains supported by the NGS Informatics team.
    • Design and apply innovative computational/statistical algorithms (including classic, statistical, ML, and AI techniques) to generate actionable biological insight from genomic data.
    • Build and maintain high level of experience with team's software and IT technologies
    • Collaborate with industry and academia, and exploit external resources, to find the most effective solutions to problems.

    Education, Qualifications, Skills and Experience

    Essential for the role:

    • Relevant graduate degree: Bioinformatics / Computational biology: Computer Science / Engineering
    • Applied experience in genomics / bioinformatics and sequencing data analysis
    • Solid programming skills in multiple programming languages. Python required
    • Software development best practices
    • Unix
    • Databases (SQL)
    • Cloud computing (AWS) and/ or HPC (High Performance Computing)

    Desirable for the role:

    • AWS
    • An understanding of the contribution of bioinformatics to drug discovery.

    Why AstraZeneca?

    At AstraZeneca we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit. There’s no better place to make a difference to medicine, patients and society. An inclusive culture that champions diversity and collaboration, and always committed to lifelong learning, growth and development. We’re on an exciting journey to pioneer the future of healthcare.

    So, what’s next?

    Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.​