Senior Data Science Manager, Predictive Analytics & AI – US Commercial
Biogen
Summary
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing 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.
Job description
Key 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.
Patient and Provider Analytics
- 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.
Required Qualifications
- 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.
Location: Hybrid (U.S.) Reports To: Director, Predictive Sciences Travel: Approximately 10–20% as needed Job Level: Management
Requirements
- 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.
Benefits
- Medical, Dental & Vision
- Life Insurance
- Fitness & Wellness Programs
- Short- & Long-Term Disability
- Paid Vacation
- Paid Holidays
- Sick Time
- Paid Maternity & Parental Leave
- 401(k) Matching
- Employee Stock Purchase Plan
- Tuition Reimbursement
- Employee Resource Groups
Company overview
Founded in 1978, Biogen is a leading global biotechnology company headquartered in Cambridge, Massachusetts, specializing in the development and commercialization of innovative therapies for serious neurological and neurodegenerative diseases. As one of the oldest independent biotechnology companies in the United States, Biogen has established itself as a pioneer in neuroscience, focusing on difficult-to-treat conditions where few or no treatment options exist. The company's portfolio includes groundbreaking treatments for multiple sclerosis, spinal muscular atrophy, Alzheimer's disease, ALS, and Friedreich's ataxia. With approximately 7,000 employees worldwide, Biogen operates through a global network that includes research and development hubs in Cambridge, Research Triangle Park in North Carolina, and South San Francisco, along with world-class manufacturing facilities in the United States and Switzerland. The company's commitment to scientific innovation is demonstrated by its Nobel Prize-winning founders and its receipt of the U.S. National Medal of Technology and Innovation. Biogen's patient-centric approach drives its mission to deliver transformative medicines that improve lives while creating sustainable value for shareholders and communities.