Associate Director, Advanced Analytics, Patient Journey Insights and Predictive Modeling

Role: Associate Director, Advanced Analytics – Patient Journey Insights and Predictive Modeling, focusing on developing AI-driven insights and predictive models to inform decision-making across Commercial, Medical Affairs, and Clinical Operations in oncology-focused biopharma. Responsibilities: leading patient journey analytics, integrating longitudinal healthcare data (claims, EHR, RWD, clinical trial data), building predictive models for diagnosis, treatment progression, adherence, and engagement; translating insights into strategic recommendations; collaborating across functions including Data Engineering, Legal, and Compliance; ensuring responsible AI practices; guiding analytics workstreams, mentoring analysts, and establishing standards for model governance and insight delivery. Requirements: BA/BS in a quantitative field with 10+ years of experience in advanced analytics, data science, or clinical/medical analytics within pharma, biotech, or healthcare sectors; deep expertise in longitudinal healthcare data and machine learning; strong communication skills for executive-level storytelling; knowledge of AI governance and compliance in regulated environments. Preferred: advanced degrees (MSc, PhD, MBA), proficiency with cloud data platforms, AI/ML deployment, and experience in developing patient journey frameworks, propensity, segmentation, survival, and adherence models; familiarity with life sciences data privacy and responsible AI. Location: hybrid with up to 20% travel.