Director, Data Science - Hybrid

Role: Lead enterprise data science strategy and governance within biopharma, focusing on analytics, automation, and AI/ML applications across multiple therapeutic areas. Responsibilities: develop and implement data enablement strategies, create KPIs and dashboards, guide analytical methodologies, oversee automated data pipelines, ensure regulatory compliance (e.g., GxP, 21 CFR Part 11), and promote organizational innovation through emerging tech. Collaborate with clinical, data management, IT, and leadership teams to drive data-driven decisions and organizational change. Requirements: Bachelor's or advanced degree in a relevant field (e.g., Computer Science, Statistics, Life Sciences), with 8+ years (or 10+ with Bachelor's) of experience working with large datasets in a biopharma or healthcare context; expertise in analytics governance, automation, AI/ML, programming (e.g., Python, R, SQL), and data standards (CDISC, SDTM). Preferred: experience in clinical operations, digital health, and enterprise data transformation. High-Value: supporting data strategy for clinical and real-world data, with emphasis on scalable, compliant analytics ecosystems. Leadership skills for managing teams and influencing senior stakeholders. Work setup: hybrid remote, with 25% travel.