• Software Engineer, Big Data Bioinformatics

    Job ID
    Regular Full-Time
    Fred Hutchinson Cancer Research Center
    Biostatistics, Bioinformatics and Computational Biology
  • Overview

    Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.


    A highly motivated bioinformatician is sought to support research in the lab of Dr. Finak at Fred Hutchinson Cancer Research Center in Seattle, WA.


    About the Lab

    We are part of the RGLab, the Biostatistics, Bioinformatics, and Epidemiology program and the Vaccine and Infectious Disease Division of Fred Hutch in Seattle. We develop statistical methods and software tools for the analysis of high throughput biological data with an emphasis on immunology and vaccine research. We work with bench scientists and clinicians to understand and ultimately help develop vaccines and/or cure severe diseases such HIV, malaria, and cancer. We are a diverse group, with training in Statistics, Computer Science, Web Development, Bioengineering,  Bioinformatics, and Computational Biology. Learn more about us at rglab.org and see some of our work on GitHub (github.com/RGLab).


    Dr. Finak is seeking a bioinformatician / sofware engineer to help build the next generation of computational flow cytometry tools under the Flow Cytometry Data Standards, Integration and Analysis R01 award. The successful candidate will help develop, implement and optimize computational flow cytometry software tools and analytic pipelines for large, clinical and non-clinical flow and mass cytometry data sets. Leveraging R and C++, we are building open source tools to enable analysis, integration, and sharing of large flow cytometry data sets with a focus on facilitating reproducible research. The candidate will work as part of a team to support data analysis and software development and international collaborations. The candidate is expected to adhere to good software development practices (e.g. design, unit tests, documentation, code review), and participate in regular team meetings.


    To be considered, candidates must have:

    • MSc in Bioinformatics, Data Science, Computer Science, Software Engineering or equivalent field with 1+ years related experience.
    • BSc with 4+ years’ experience also qualifies.
    • R (expert) and C++ (proficient).
    • Web stack, AWS / cloud computing (working knowledge)
    • Unix-like operating system environment (proficient)
    • R tidyverse tools (proficient)
    • R package development (familiar);
    • Software version control (e.g. git working knowledge or greater)
    • Candidate should possess: strong work ethic and analytical skills, an ability to work in a team, to meet deadlines and to deliver a robust, well-tested and well-documented, quality codebase

    Preferred Qualifications

    • Track record of contributions to open source software projects.
    • Excellent written and oral communication skills.

    To Apply:

    Please apply with your CV and a letter summarizing previous work experience.

    Our Commitment to Diversity

    We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at escmail@fredhutch.org or by calling 206-667-4700.


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