Principal Statistical Programmer - Global Studies- REMOTE

We are seeking a highly experienced Statistical Programmer to lead programming activities across global clinical studies. This role operates beyond executional programming, with responsibility for oversight of CRO deliverables, validation of outputs, and end-to-end accountability for statistical programming packages., * Lead statistical programming activities across global studies

• Serve as primary programming lead in collaboration with Biostatistics
• Develop, review, and validate SDTM and ADaM datasets in accordance with CDISC standards
• Review specifications and proactively challenge inconsistencies in protocols, SAPs, and dataset definitions
• Validate program outputs and ensure accuracy, quality, and regulatory compliance
• Provide oversight and guidance to CRO partners, consolidating and communicating feedback effectively
• Manage timelines, delivery packages, and milestone commitments Contribute to continuous improvement of programming processes and standards

Do you have experience in SAS language?, Do you have a Master's degree?, * Strong expertise in CDISC standards, including ADaM and SDTM

• Demonstrated experience reviewing specs and ensuring high-quality, submission-ready deliverables
• Working experience in LSAF environment
• Experience validating CRO programming deliverables
• Ability to operate with increased performance accountability and ownership
• Strong CRO-facing communication and collaboration skills
• Proven ability to manage multiple global studies simultaneously

Additional Requirements

• Practical experience with multiple imputation (MI), particularly under Missing at Random (MAR) assumptions
• Familiarity with the estimands framework (ICH E9 R1) and managing intercurrent events (ICEs) within ADaM domains using various strategies, * Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field
• 5+ years of SAS programming experience within pharmaceutical/biotech
• Strong understanding of statistical methods used in clinical trial analysis
• Knowledge of Good Programming Practices and GCP
• Preferred: Experience with R programming