Associate Director, Real-World Analytics Programing

For our client, we are seeking a Associate Director, Real-World Analytics Programing to join the team of a leader in the Pharmaceuticals & Biotech space. This role will lead statistical programming efforts for real-world evidence studies across the full study lifecycle, from initial design through final delivery. The Associate Director will translate study requirements into efficient programming solutions and ensure high-quality outputs that support observational research in an oncology-focused environment. This position also partners closely with cross-functional teams to advance technical execution, data quality, and study success. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $177,000 – $221,000 annually Responsibilities Serve as the lead statistical programmer for assigned real-world studies, managing programming activities from kickoff to delivery Lead programming deliverables from study initiation to final report, including documentation and final outputs Review study documents to ensure accurate implementation of study requirements Translate study designs into efficient programming solutions Develop, validate, and maintain programming solutions using SAS, SQL, and R Generate quality-controlled analysis datasets, tables, listings, and figures (TLFs) Collaborate with cross-functional teams to ensure successful delivery of study objectives Qualifications BS/MS degree in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, Mathematics, or a related quantitative discipline 8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related settings for senior-level candidates Experience independently leading programming activities for observational research, HEOR, epidemiology, or real-world evidence studies Strong programming skills in SAS; R experience is also required Proficient in SQL; familiarity with additional programming languages for analytics support is preferred Experienced in developing analysis datasets and TLFs from complex healthcare data sources Strong understanding of observational research workflows and the implementation of study specifications Benefits Robust equity awards and a strong benefits package Significant learning and development opportunities Collaborative team environment promoting continuous process improvement Emphasis on technical execution and high-quality outcomes Opportunity to work with diverse oncology real-world data assets Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.