Senior Manager, Predictive Science & AI – US Commercial
Biogen
August 14, 2026
Remote friendly (Cambridge, MA)
United States
Marketing
AI & Data Science Leadership
- Design, develop, and validate machine learning and predictive analytics solutions for U.S. Commercial.
- Select and implement statistical/ML/AI methods to deliver insights into patient populations, 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 and deploy advanced analytics/ML/AI to generate actionable insights on patients, providers, treatment patterns, and disease progression.
- Build predictive models for patient identification, segmentation, treatment initiation, adherence, persistence, and provider engagement strategies.
- Integrate and analyze claims, EHR, specialty pharmacy, and commercial data to improve access, engagement, and commercial effectiveness.
- Partner with Commercial, Medical Affairs, and Insights & Analytics to translate insights into evidence-based business strategies.
- Communicate complex findings to leadership and cross-functional teams.
Leadership and Performance
- Support innovation, collaboration, continuous learning, and technical excellence.
- Manage external vendors/consulting partners.
- Deliver timely, high-quality execution in a fast-paced cross-functional environment.
Required Qualifications
- Bachelor’s + 5+ years, or Master’s + 3+ years in a quantitative field.
- 3+ years supporting U.S. Commercial pharma/biotech.
- Python and SQL; Databricks, Snowflake, Power BI.
- ML/statistical modeling/predictive analytics/optimization expertise.
- Knowledge of commercial data sources (e.g., IQVIA, Symphony Health, Veeva, Komodo; claims/EHR).
- Strong communication and stakeholder management.
Benefits (selected)
- Medical, dental, vision, and life; fitness/wellness reimbursement; disability; 15+ days paid vacation; paid holidays; sick time; maternity/parental leave; 401(k) match; employee stock purchase plan; tuition reimbursement (up to $10,000/year).
Location/Travel
- Hybrid (U.S.), on-site 3 days/week; travel ~10–20% as needed.
- Design, develop, and validate machine learning and predictive analytics solutions for U.S. Commercial.
- Select and implement statistical/ML/AI methods to deliver insights into patient populations, 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 and deploy advanced analytics/ML/AI to generate actionable insights on patients, providers, treatment patterns, and disease progression.
- Build predictive models for patient identification, segmentation, treatment initiation, adherence, persistence, and provider engagement strategies.
- Integrate and analyze claims, EHR, specialty pharmacy, and commercial data to improve access, engagement, and commercial effectiveness.
- Partner with Commercial, Medical Affairs, and Insights & Analytics to translate insights into evidence-based business strategies.
- Communicate complex findings to leadership and cross-functional teams.
Leadership and Performance
- Support innovation, collaboration, continuous learning, and technical excellence.
- Manage external vendors/consulting partners.
- Deliver timely, high-quality execution in a fast-paced cross-functional environment.
Required Qualifications
- Bachelor’s + 5+ years, or Master’s + 3+ years in a quantitative field.
- 3+ years supporting U.S. Commercial pharma/biotech.
- Python and SQL; Databricks, Snowflake, Power BI.
- ML/statistical modeling/predictive analytics/optimization expertise.
- Knowledge of commercial data sources (e.g., IQVIA, Symphony Health, Veeva, Komodo; claims/EHR).
- Strong communication and stakeholder management.
Benefits (selected)
- Medical, dental, vision, and life; fitness/wellness reimbursement; disability; 15+ days paid vacation; paid holidays; sick time; maternity/parental leave; 401(k) match; employee stock purchase plan; tuition reimbursement (up to $10,000/year).
Location/Travel
- Hybrid (U.S.), on-site 3 days/week; travel ~10–20% as needed.