Senior Manager, Predictive Science & AI - US Commercial

Key Responsibilities AI & Data Science Leadership Design, develop and validate machine learning and predictive analytics-based solutions supporting U.S.

Commercial function. Evaluate business and analytical needs to select and implement appropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.

Follow and refine best practices for model development, monitoring, governance, and continuous improvement. Patient and Provider Analytics Develop, deploy advanced analytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression.

Develop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.

Integrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.

Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.

Communicate complex analytical findings clearly to leadership and cross-functional teams. Leadership and Performance Support a culture of innovation, collaboration, continuous learning, and technical excellence.

Manage external vendors and consulting partners. Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution.

Required Qualifications Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field. 3+ years of experience supporting U.S.

Commercial organizations within the pharmaceutical / biotechnology industry. Strong programming skills in Python and SQL. Experience with Databricks, Snowflake and Power BI.

Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques. Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.

Excellent communication and stakeholder management skills. Location: Hybrid (U.S.) Reports To: Director, Predictive Sciences Travel: Approximately 10-20% as needed Job Level: Management Additional Information The base compensation range for this role is: $142,000.00-$190,000.00 Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity.