Statistical Programmer III/IV

Fred Hutchinson Cancer Center•Seattle, WA

14h•Remote

About The Position

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. 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 130 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/IV to provide 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. This position can be offered fully remote.

Requirements

Statistical Programmer III: Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields.
Statistical Programmer III: 4 years of experience as SAS or R programmer on PC/Unix platform.
Statistical Programmer III: Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
Statistical Programmer III: Demonstrated ability to multi-task and appropriately prioritize work assignments.
Statistical Programmer III: Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field.
Statistical Programmer III: Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
Statistical Programmer III: Advanced SAS or R programming skills.
Statistical Programmer III: Strong reporting and SAS macro or R package development abilities.
Statistical Programmer III: Knowledge of SAS or R (including graphics experience) and other programming languages.
Statistical Programmer III: Ability to use Perl or other scripting languages for text manipulation and automated job control.
Statistical Programmer IV: Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields.
Statistical Programmer IV: 5 years of experience in SAS or R programming, with additional experience in other programming languages including a scripting language; R programmers will have experience using version control tools (e.g. git or svn).
Statistical Programmer IV: 4 years of experience in support of clinical trials, in a clinical research setting or other health research setting, or in data wrangling /transformation within a health-related field.
Statistical Programmer IV: Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
Statistical Programmer IV: Demonstrated ability to multi-task and appropriately prioritize work assignments.
Statistical Programmer IV: Knowledge of and experience with clinical trials research data.
Statistical Programmer IV: Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
Statistical Programmer IV: Knowledge of both SAS and R (including graphics experience) and other programming languages.
Statistical Programmer IV: Strong reporting and SAS macro or R package development abilities.
Statistical Programmer IV: Advanced SAS or advanced R programming skills.
Statistical Programmer IV: Ability to use Perl or other scripting languages for text manipulation and automated job control.

Nice To Haves

Statistical Programmer III: Graduate degree in Computer Science or a scientific, technical, or health-related field.
Statistical Programmer III: Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support.
Statistical Programmer III: R programmers will have experience using version control tools (e.g. git or svn).
Statistical Programmer III: Knowledge of CDISC standards (SDTM and ADaM).
Statistical Programmer III: Experience using version control tools.
Statistical Programmer IV: Graduate degree in Computer Science or a scientific, technical, or health-related field.
Statistical Programmer IV: Knowledge of CDISC standards (SDTM and ADaM).

Responsibilities

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.
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, lab programmers, 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.
Other duties as assigned.