Senior Predictive AI & Analytics Leader, US Commercial

Biogen, Inc.; North Carolina; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k) with company match

Employee stock purchase plan

Tuition reimbursement

Job summary

Biogen, Inc. is seeking a Senior Data Science Manager for Predictive Analytics & AI to lead ML initiatives across US Commercial.

The role partners with Insights & Analytics, Enterprise Data Management, IT and Medical Affairs to build predictive models and deliver actionable insights that shape commercial strategy and growth. The position is hybrid with on-site presence in Research Triangle Park, NC three days a week, and requires strong biotech commercial acumen, advanced Python/SQL skills, and

Qualifications

• Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years, 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.

Responsibilities

• AI & Data Science Leadership: 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.
• 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.

Skills

Python & SQL

Biotech commercial acumen

Communication skills

Stakeholder management

Leadership

Education

Bachelor's degree with 5+ years or Master's with 3+ years

Tools

Databricks

Snowflake

Power BI

IQVIA

Job description

Biogen, Inc. is seeking a Senior Data Science Manager for Predictive Analytics & AI to lead ML initiatives across US Commercial.

The role partners with Insights & Analytics, Enterprise Data Management, IT and Medical Affairs to build predictive models and deliver actionable insights that shape commercial strategy and growth. The position is hybrid with on-site presence in Research Triangle Park, NC three days a week, and requires strong biotech commercial acumen, advanced Python/SQL skills, and