Associate Director, Statistical Programming

Role: Associate Director of Statistical Programming leading technical and operational aspects of clinical trial data analysis and reporting. Responsibilities: oversee quality and timely delivery of statistical programming deliverables, develop and validate SAS and R programs supporting clinical studies, contribute to CDISC standards (SDTM, ADaM), collaborate with Biostatistics, Data Management, and Drug Safety teams, manage internal and vendor programming support, and lead process standardization. Requirements: minimum 10 years’ SAS programming experience in pharma/biotech/CRO, proven leadership in managing programming teams and supporting NDA/BLA submissions, expertise in CDISC standards, proficiency in SAS/Base, SAS/Macro, SAS/STAT, SAS/Graph, SAS/SQL, and R for clinical data analysis, strong organizational and communication skills, bachelor’s degree in computer science, statistics, or related field; master’s preferred. High-Value: focus on clinical trial data analysis and regulatory submission support, supporting drug development programs with emphasis on data standards, programming quality, and vendor oversight. WorkSetup: not specified, but likely office or hybrid based on industry norms.