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

• 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.

• 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.

• 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 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.

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.

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 & Wellness programs including a fitness reimbursement
• Short- and Long-Term Disability insurance
• A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
• Up to 12 company paid holidays + 3 paid days off for Personal Significance
• 80 hours of sick time per calendar year
• Paid Maternity and Parental Leave benefit
• 401(k) program participation with company matched contributions
• Employee stock purchase plan
• Tuition reimbursement of up to $10,000 per calendar year
• Employee Resource Groups participation