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 Hutchs 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 nations first cancer prevention research program, as well as the clinical coordinating center of the Womens Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.
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 and COVID-19 vaccine development. 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 Level II-III to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-suable, and easily maintainable code that access, analyze and report data descriptives and analyses. The incumbent primarily uses SAS or 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.
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
Develop scripts for wrangling / data transformation and standardizing assay datasets
Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); 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 WIs.
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
May contribute to mentoring and training of junior Statistical Programmers and may supervise as needed
Bachelors degree in Computer Science or a scientific, technical, or health-related field
Level II: Two years of experience as SAS or 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; R programmers will have experience using version control tools (e.g. git or svn)
Level III: At least four years of experience as SAS or 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; R programmers will have 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
Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field
Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting
Strong reporting and SAS macro or R package development abilities
Additional Minimum requirement for Level III
Advanced SAS or R programming skills
Knowledge of SAS or R (including graphics experience) and other programming languages
Ability to use Perl or other scripting languages for text manipulation and automated job control
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
Knowledge of laboratory and biological assay data
A statementdescribing your commitment and contributions toward greater diversity, equity, inclusion, and anti-racism in your career or that will be made through your work at Fred Hutch is requested of all finalists.
Our Commitment to Diversity
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, 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 firstname.lastname@example.org or by calling 206-667-4700.
At Fred Hutchinson Cancer Research Center, teams of world-renowned scientists and humanitarians work together to prevent, diagnose and treat cancer, HIV/AIDS and other diseases. Researchers are discovering new ways to detect cancers earlier, improve treatments, and learn how to prevent cancers from growing. Although Fred Hutchinson opened its doors in 1975, its history began about 20 years before that. In 1962 Fred Hutchinson envisioned a center devoted to studying cancer, a disease that took his brother’s life. Today Fred Hutchinson is contributing to the next waves of breakthrough treatments and prevention strategies. Fred Hutchinson collaborates with the Seattle Cancer Alliance, the National Cancer Institute, and the University of Washington.