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 optimizing 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 patientpopulationsandhealthcareprovider behavior. The successful candidate brings deep biotech commercial acumen and strongexpertisein machine learning and AI todelivert timely ,innovative solutions thatinformstrategic decisions and accelerate commercial growth.

This is a hybrid role to the Cambridge, MA office which requires an on-site presence3days per week.

• D esign, develop and validat e machine learning and predictive analytics-based solutions supportingU.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.

• D evelo p , deploy advanced analytics, machine learning, andAI 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 teamsto translate patient and provider insights into evidence-based business strategies.
• Communicate complex analytical findings clearly to leadership andcross‑functional teams.

• Support a cultureof innovation, collaboration, continuous learning, and technical excellence.
• Manage external vendors and consulting partners.
• Operate effectively ina fast‑paced, cross‑functional environment, managing multiple initiatives while ensuring timelyand 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 experience supporting U.S. Commercial organizations within the pharmaceutical/biotechnology industry.
• Strong programming skillsin PythonandSQL.
• Experience with Databricks, Snowflake and
  
  PowerBI.
• 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 claimsand 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

• The base compensation range for this role is: $-$
• 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.
• Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
• In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well‑being ; including, but not limited to:
• Medical, Dental, Vision, & Life insurances
• Fitness&…