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    Opportunity: Team Lead, Bioinformatics Engineering @ Dana-Farber Cancer Institute -- Boston, MA (US)
    Submitted by emily post; posted on Friday, February 18, 2022

    DESCRIPTION

    The Department of Data Science within the Dana-Farber Cancer Institute is seeking a Team Lead, Bioinformatics Engineering for our Trial Matching Platform. The Team Lead is an exceptional candidate who has deep software engineering experience and cancer bioinformatics expertise, combined with proven team leadership experience. Candidates must have prior experience building data pipelines and software utilizing genomics data. Must have some exposure to management of engineers. This is an exciting opportunity that will impact thousands of patients across Dana-Farber and we need a creative leader who can help us drive precision oncology forward.

    The team lead will be responsible for recruiting and managing a small team of bioinformatics engineers, to build new computational solutions for cancer genomics at DFCI. This includes a cancer clinical trial matching system which recommends precision medicine clinical trials for patients. The lead will be responsible for learning existing technologies, improving the technologies when necessary and helping deliver new features and related products. The candidate will eventually lead the engineering efforts of multiple projects.

    RESPONSIBILITIES

    • Learn, improve, and develop new features for precision medicine clinical trial matching software.
    • Design, develop and maintain Application Programming Interfaces (APIs), microservices, and asynchronous queuing systems.
    • Develop new and migrate legacy software to more modern devops frameworks.
    • Develop new Python software modules, developed via best practices, including unit testing, automated build processes and code reviews.
    • Recruit and manage a small team of bioinformatics engineers.

    REQUIREMENTS

    • Bachelor's or master's degree in Computer Science, Bioinformatics, Computational Biology or a related field.
    • Prior experience building applications with genomics data.
    • Experience with AI / ML is a bonus.
    • 3+ years of bioinformatics engineering experience in an academic or industry setting.
    • 1-3 years' experience managing a small team of bioinformatics engineers.
    • Expert knowledge of Python.
    • Experience in modern software development technologies, including distributed versioning systems, continuous integration, and Agile programming practices.
    • Expert knowledge of relational and non-relational databases.
    • Demonstrated ability to communicate and present technical ideas and plans to non-technical stakeholders.

    TERMS

    Full Time

    HOW TO APPLY

    To learn more and to apply, please visit: https://careers.dana-farber.org/team_lead_bioinformatics_engineering

    ABOUT US

    At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

    Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

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