Overview
In this Senior Statistical Programmer role, you’ll support or lead one or more clinical trials for a global pharmaceutical client, applying advanced SAS programming and CDISC SDTM/ADaM standards. You’ll work within a cross-functional Cytel-enabled team to produce high-quality data manipulation, analyses, and submission-ready outputs. The position offers remote work and emphasizes rigorous data standards, validation, and timely deliverables. You’ll play a key part in shaping data-driven decision making for patient-focused therapies and complex clinical programs.
Responsibilities
- Data manipulation, analysis and reporting of clinical trial data (safety and efficacy) using SAS
- Produce and validate SDTM and ADaM datasets/analysis files, and TLFs
- QC/validation programming and complex ad-hoc reporting
- Create and review submission documents eCRTs and define.xml-related artifacts
- Lead duties when needed and coordinate with cross-functional teams
- Support immunology, respiratory or oncology studies when applicable
- Maintain adherence to timelines and ensure quality deliverables
- Communicate project specifications and issues with clients and internal teams
Key requirements
- 8+ years SAS programming with clinical trial data (Pharma/Biotech)
- 6+ years with Master’s degree or higher
- Strong data manipulation, analysis and reporting skills in SAS
- Solid experience with CDISC SDTM/ADaM standards
- QC/validation and ad-hoc reporting proficiency
- Experience with efficacy analyses and drug development lifecycle
- Submission document experience (define.xml and related artifacts)
- Ability to work in globally dispersed teams and meet challenging timelines
- Study lead experience preferred
- analytical mindset
- troubleshooting skills
- cross-functional collaboration
- SAS programming
- CDISC SDTM/ADaM
- Efficacy analysis
…
