Summary
Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. They are seeking a Statistical Programmer III/IV to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, reusable, and easily maintainable code that accesses, analyzes, and reports data descriptives and analyses.
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
Skills
- 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
- 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)
- 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
- 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
- Graduate degree in Computer Science or a scientific, technical, or health-related field
- 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)
- Knowledge of CDISC standards (SDTM and ADaM)
- Experience using version control tools
Qualifications
Must Haves
- 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
- 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)
- 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
- 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
Nice to Haves
- Graduate degree in Computer Science or a scientific, technical, or health-related field
- 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)
- Knowledge of CDISC standards (SDTM and ADaM)
- Experience using version control tools
Benefits
- Comprehensive benefits package
- Medical/vision
- Dental
- Flexible spending accounts
- Life
- Disability
- Retirement
- Family life support
- Employee assistance program
- Onsite health clinic
- Tuition reimbursement
- Paid vacation (12-22 days per year)
- Paid sick leave (12-25 days per year)
- Paid holidays (13 days per year)
- Paid parental leave (up to 4 weeks)