Associate Principal Scientist, Statistical Programming, Late-Stage Oncology (Hybrid)

Role: Lead statistical programming activities for large or complex late-stage drug/vaccine clinical development projects, ensuring high-quality analysis datasets, tables, listings, and figures for regulatory submissions and post-marketing support. Responsibilities: develop and validate analysis reports following global standards, manage project plans and resources, coordinate a global outsourcing team, and serve as the primary programming contact throughout the product lifecycle. Requirements: BA/BS in a related field plus 9+ years or MS plus 7+ years of SAS programming experience in clinical trials; strong expertise in SAS, clinical trial data, CDISC/ADaM standards, and regulatory submission experience. HighValue: late-stage (Phases 2-3 or post-marketing), biologics or small molecules, regulatory submissions, GxP compliance, global coordination, with a focus on oncology or infectious diseases. WorkSetup: hybrid; travel approximately 10%.