• R Statistical Programmer II

    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. 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 II.


    Under general supervision, the 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 R; 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.


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

    • Develop scripts for wrangling / data transformation and standardizing assay datasets
    • Generate, document, and maintain analysis datasets
    • Gather and document requirements for developing or modifying existing programs and systems
    • Define and edit analysis dataset specifications
    • Create ad hoc, standard and study-specific reports (e.g. Assay QC)
    • Test and de-bug programs and maintain version control on production programs and scripts
    • Support development of and updates to work instructions (WIs) and standardization of processes
    • 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



    • Bachelor’s degree in Computer Science or a scientific, technical, or health-related field
    • Two years of experience as an R 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; experience using version control tools (e.g. git or svn)
    • 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
    • Experience in data wrangling / transformation, preferably within a health-related field
    • Knowledge of and experience with statistical analyses
    • Reporting and R package development abilities



    • Knowledge of biological assay data
    • Advanced R programming skills
    • Ability to use Perl or other scripting languages for text manipulation and automated job control
    • Knowledge of both SAS and R (including graphics experience) and other programming languages
    • Knowledge of CDISC standards (SDTM and ADaM)
    • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting

    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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