Associate Director, Real World Evidence Data Scientist, Gaithersburg, MD

Role: Real World Evidence (RWE) Data Scientist within the Oncology Data & Analytics team at AstraZeneca, supporting medical evidence generation through RWD analysis, data governance, and AI capabilities. Responsibilities: collaborate with stakeholders to design studies, evaluate data sources, translate scientific questions into analytical workflows using R/Python/SQL, incorporate advanced methods like causal inference and AI, and leverage GenAI tools to accelerate insights. Communicate findings effectively to diverse audiences. Requirements: PhD or MS in epidemiology, biostatistics, data science, or related field; 3+ years in pharmaceutical or CRO environments; 5+ years working with large healthcare datasets; proficiency in R/Python, SQL, version control, and analytics pipelines; strong stakeholder management and communication skills. Preferred: expertise in clinical data standards, building production analytics solutions, managing cross-functional projects, and experience with AI-powered software. High-Value: focus on oncology, real-world datasets (claims, EHR, registries), methodologies in observational studies, and innovative AI integrations. WorkSetup: hybrid with flexible in-office and remote work; no travel specified.