Statistical Programmer III/IV

About the role

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.

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.
• Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); may perform cross-study reporting.
• Test and debug 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.

Qualifications

• Statistical Programmer III: Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields. 4 years of experience as SAS or R programmer on PC/Unix platform. 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. Advanced SAS or R programming skills. Strong reporting and SAS macro or R package development abilities. 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.
• Statistical Programmer IV: Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields. 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). Knowledge of CDISC standards (SDTM and ADaM). Experience using version control tools. Knowledge of clinical trials research data. Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting. Knowledge of both SAS and R (including graphics experience) and other programming languages. Strong reporting and SAS macro or R package development abilities. Advanced SAS or advanced R programming skills. Ability to use Perl or other scripting languages for text manipulation and automated job control.

Pay

• Statistical Programmer III: Annual base salary range from $99,486 to $157,227.
• Statistical Programmer IV: Annual base salary range from $109,699 to $173,347.

Schedule

This position can be offered fully remote.