Position Summary
The Senior Manager, Data Science & AI will lead the development of predictive models and advanced analytics solutions that enhance Patient Services programs and improve the patient experience throughout the treatment journey. This role will leverage specialty pharmacy, patient support program, claims, and CRM data to identify patients at risk for delayed treatment initiation, poor adherence, discontinuation, or access barriers.
This individual will partner closely with Patient Services, Market Access, Commercial, and Operations teams to translate data into actionable interventions that improve patient outcomes, optimize program effectiveness, and maximize return on patient support investments.
Key Responsibilities
Patient Services Predictive Modeling
Lead the design, development, validation, and deployment of predictive models supporting Patient Services strategy and operations.
Develop risk-scoring models to identify patients likely to: discontinue therapy, delay treatment initiation, experience access or reimbursement challenges, become non-adherent or non-persistent
Build models that recommend the most effective patient interventions to improve treatment access and adherence.
Develop patient prioritization frameworks that enable care coordinators and case managers to focus resources on patients with the greatest unmet needs.
Design early-warning systems that proactively identify patients requiring intervention before treatment disruption occurs.
Leadership and Performance
Follow and refine best practices for model development, monitoring, governance, and continuous improvement.
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.
Experience working with specialty pharmacy, patient support programs, or patient service organizations.
Location: Hybrid (U.S.)
Reports To: Director, Predictive Sciences
Travel: Approximately 10–20% as needed
Job Level: Management
Additional Information
The base compensation range for this role is: $135,000.00-$180,750.00
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…