Key skills
PythonRStatistical AnalysisSAP
About this role
Role Overview
- Provide statistical programming support to pre-defined and exploratory analysis, formal reports, publications, presentations, and new statistical methodologies
- Manage the timeline and deliverables of the analysis dataset and Tables, Figures and Listings (TFL) development
- Work closely with biostatisticians to review the statistical analysis plan (SAP), and create data and analysis program specifications based on the SAP and TFL shells
- Maintain complete and auditable programming documentation for analysis of clinical studies
- Contribute to the development, documentation and maintenance of a reusable programming code library
- Serve as a member of clinical study teams
- Stay abreast of industry developments in the Statistical Programming field and apply to appropriate systems and processes
Requirements
- Minimum 4 years statistical programming experience in academia or industry is required.
- Experience in a similar industry as GRAIL is preferred.
- B.S. in Statistics or related fields.
- Proficient in R or Python or SAS
- Ability to work independently on multiple concurrent projects in a fast-paced environment
- Strong team player with demonstrated track record of success in cross-functional team environment
Tech Stack
- Python
Benefits
- flexible time-off or vacation
- 401(k) retirement plan with employer match
- medical, dental, and vision coverage
- carefully selected mindfulness programs