• SAS Statistical Programmer III

    Job ID
    13941
    Type
    Regular Full-Time
    Company
    Fred Hutchinson Cancer Research Center
    Location
    US-WA-Seattle
    Category
    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. The Center’s five scientific divisions collaborate to form a unique environment for conducting basic and applied science. Vaccine and Infectious Diseases Division (VIDD) works to eliminate or minimize the impact of globally significant infectious diseases. Within VIDD is the Statistical Center for HIV/AIDS Research & Prevention (SCHARP), which provides statistical support and data management to researchers worldwide in the fight against HIV/AIDS with active studies in the U.S., Africa, Latin America, Asia and Europe. Careers Start Here.


    The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 180 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Programmer III.

     

    With guidance, the Senior Statistical Programmer provides statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-usable, and easily maintainable code that access, analyze and report data descriptives and analyses. The incumbent primarily uses SAS; additional statistical and analytical software programs are used as needed. Core to the role is the ability to communicate effectively, work collaboratively with colleagues and be responsive to the needs of both internal and external customers within an environment of mutual cooperation and respect. The Senior Statistical Programmer shows independence in management of workload and production of quality output, as well as technical expertise that contributes to the programmatic infrastructure of the Statistical Programming group.

    Responsibilities

    Responsibilities will include a subset of the following, based on network(s) supported:

    • Gather and document requirements for developing or modifying existing programs and systems
    • Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications
    • Generate, document, and maintain analysis datasets
    • Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB); may perform cross-study reporting
    • Test and de-bug programs and maintain version control on production programs and scripts
    • Design and develop new work instructions (WIs) and updates to existing
    • May coordinate efforts to standardize WIs or processes across studies
    • Develop and maintain automation of routine analysis data and reporting tasks
    • Contribute to good programming practices, and cross-group programming initiatives and code libraries
    • Work with clinical programmers, labs, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues
    • Contribute to mentoring and training of junior Statistical Programmers and may supervise as needed

    Qualifications

    Required

    • Bachelor’s degree in Computer Science or a scientific, technical, or health-related field
    • At least four years of experience as a SAS programmer on PC/Unix platform; Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support
    • 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
    • Knowledge of and experience with clinical trials research data
    • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting
    • Advanced SAS programming skills
    • Strong reporting and SAS macro development abilities
    • Knowledge of SAS (including graphics experience) and other programming languages
    • Ability to use Perl or other scripting languages for text manipulation and automated job control

     

    Preferred

    • Graduate degree in computer science or a scientific, technical, or health-related field
    • Knowledge of CDISC standards (SDTM and ADaM)
    • Experience using version control tools

    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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