• Manager, Statistical Programming

    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 and largest 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.


    Please note: This position is on-site in Seattle, WA. We cannot accomodate remote work in this position at this time. 

    The Statistical Center for HIV/AIDS Research & Prevention (SCHARP) at the Fred Hutchinson Cancer Research Center in Seattle, WA is seeking a highly motivated and effective Manager to lead the Statistical Programming Team.


    The Statistical Programming (STP) Manager is responsible for the direct supervision of statistical programmers and statistical programming supervisors, including providing training and development, annual evaluations and addressing performance concerns. The STP Manager coordinates work assignments and adjusts workloads, considering individual capabilities and areas of expertise to meet study requirements and deliverables. They work independently, performing both routine and one-off programming tasks, using their experience and judgment to guide programmers in meeting study goals and deadlines.

    In support of SCHARP projects, study protocols and research network requirements, the STP Manager may perform one or more of the following tasks:

    • Participate in annual budgeting and reporting processes.
    • Review programming requests and distribute/delegate to appropriate staff members. Review programming priorities with staff members. Review conflicting priorities with the DAU leader as appropriate.
    • Standardize work practices across studies where practical and participate in standardization efforts that impact more than one functional group.
    • Design and document quality assurance procedures, validation efforts, standard operating procedures (SOPs), and work instructions (WIs). Follow SCHARP software development lifecycle (SDLC) practices and processes. Support the maintenance of existing SOPs and WIs.
    • Provide training and mentoring for new staff. Share expertise and knowledge to inform current and future work.
    • Conduct regular team meetings to communicate decisions and identify and address issues that may impact the team.
    • Represent Statistical Programmers in SCHARP management meetings, committee work, working groups and special projects.
    • Coordinate with the other programming groups to identify and address common issues.
    • Perform study-specific and cross-study reporting. Support automation of statistical programming tasks.
    • Develop Infrastructure projects in support of increasing automation, standardization and validation of procedures and programs.



    • Bachelor’s degree in Computer Science or a scientific, technical, or health-related field
    • At least eight years of experience as a Statistical Programmer; prefer at least two years of previous supervisory experience in a technical work environment
    • Demonstrated leadership capabilities
    • Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams
    • Demonstrated ability to multi-task and appropriately prioritize work assignments
    • Demonstrated ability to communicate programming issues with non-technical staff
    • Experience with SAS statistical software is essential, preferably on a Unix platform
    • Advanced SAS and strong SAS Macro and reporting experience
    • Proficient use of database management and programming software


    • Graduate degree in Computer Science or a scientific, technical, or health-related field
    • Formal management/supervision coursework
    • Experience with estimating and preparing project budgets
    • Knowledge of and experience in programming for scientific research
    • Previous clinical trials and analysis experience
    • Experience in programming, system, and/or database documentation and validation
    • Experience with SQL and relational databases
    • Knowledge of CDISC standardization practices
    • Knowledge of laboratory data

    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.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed