Manager, Analytical AI Forecasting and Predictive Solutions

Role: Manager of Analytical AI Forecasting and Predictive Solutions, focusing on developing and supporting advanced forecasting models for commercial demand within biopharma. Responsibilities: lead the design, implementation, and maintenance of machine learning and statistical forecasting models; collaborate with cross-functional teams such as Finance, Commercial, and Analytics to translate business needs into analytical solutions; contribute to best practice adoption, model validation, and performance monitoring; communicate insights effectively to stakeholders; support scaling and standardization of tools and workflows. Requirements: BA/BS in a quantitative field; 2-3 years of hands-on experience in analytics or data science, with proficiency in Python/R, SQL, Tableau, and cloud environments (AWS/Azure); strong communication skills; experience with large datasets and forecasting methodologies. Preferred: MBA or graduate degree, experience in pharmaceutical forecasting, and familiarity with GxP or regulated environments. High-Value: emphasis on AI, machine learning, and forecasting to support commercial decision-making in biopharma. Work setup: hybrid/onsite in Princeton, NJ, with some flexibility; travel not specified but implied for stakeholder engagement.