Senior Data Science Manager, Predictive Analytics & AI – US Commercial

The   Senior Data Science Manager, Predictive Analytics & AI – US Commercial will   be responsible for developing, implementing and o ptimizing   of machine learning and AI solutions that drive data-driven decision-making across the U.S. Commercial organization. This role partners closely with Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs to develop predictive models and analytical solutions that generate actionable insights into patient populations   and   healthcare provider behavior. The successful candidate  brings deep biotech commercial acumen and strong   expertise   in machine learning and AI to   deliver  timely ,   innovative solutions that inform strategic decisions and accelerate commercial growth.   This is a hybrid role to the Cambridge, MA office which requires an on-site presence 3 days per week.

AI & Data Science Leadership   D esign, develop   and   validat e  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   D evelo p ,   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.

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 e xperience 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