Senior Manager, Predictive Science & AI – US Commercial
$142,000–$190,000 year
HybridCambridge, Massachusetts, United States
Job Summary
Design, develop, and validate machine learning and predictive analytics solutions to drive data-driven decision-making across the U.S. Commercial organization. Evaluate business needs to select statistical and AI methodologies that generate actionable insights into patient populations and healthcare provider behavior. Deploy advanced analytics to support patient identification, segmentation, and treatment initiation strategies by integrating claims, electronic health records, and commercial data. Partner with Insights, Medical Affairs, and IT to translate findings into evidence-based business strategies while managing external vendors and ensuring model governance. This hybrid role in Cambridge, MA requires an on-site presence three days per week.
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
- Hybrid (U.S.)
- Approximately 10–20% as needed
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