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

Role: Lead statistical programming for late-stage drug/vaccine clinical projects, overseeing analysis and reporting deliverables from individual trials to regulatory submissions. Responsibilities: develop and validate analysis datasets, coordinate global programming teams including outsourcing, maintain project plans, and ensure deliverable quality and process compliance. Requirements: BA/BS with 9+ years or MS with 7+ years SAS programming experience in clinical trials; expertise in SAS, CDISC/ADaM standards, and regulatory submission support; strong collaboration and project management skills. HighValue: late-stage (Phases 2-3 or post-marketing), biologics or small molecules, regulatory submission focus, global stakeholder engagement, experience with GenAI tools preferred. WorkSetup: hybrid with 10% travel.