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# Senior Manager, Predictive Science & AI - US Commercial

- **Company:** Biogen
- **Location:** Cambridge, MA, United States
- **Experience:** Expert
- **Salary:** $142,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Snowflake, Information Technology, Optimization Algorithms, Veeva, Databricks
- **Published:** August 7, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27914798/Senior-Manager-Predictive-Science-Ai-Us-Commercial-Massachusetts-Cambridge-7378

## About the Role

* 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 organizationswithin the pharmaceutical / biotechnology industry.

 * Strong programming skillsin Python and SQL.

 * Experience with Databricks, Snowflake and Power BI.

 * Expertise in machinelearning, statistical modeling, predictive analytics,and optimization techniques.

 * Knowledge of commercialpharmaceutical data sourcessuch as IQVIA, Symphony Health, Veeva, Komodo, or claimsand EHR datasets.

 * Excellent communicationand stakeholder managementskills.

## Description

The Senior Manager, Predictive Science & AI - US Commercial will be responsible for developing, implementing and optimizing of machine learningand AI solutionsthat drive data-driven decision-makingacross the U.S. Commercial organization. This role partnersclosely with Insights& Analytics, EnterpriseData Management, InformationTechnology, and MedicalAffairs to developpredictive models and analytical solutionsthat generate actionableinsights into patientpopulations and healthcareprovider behavior.The successful candidatebrings deep biotech commercial acumen and strong expertise in machine learning and AI to delivertimely, innovative solutions thatinform strategic decisionsand accelerate commercialgrowth., AI & Data ScienceLeadership

 * Design, develop and validatemachine learning and predictiveanalytics-based solutions supportingU.S. Commercialfunction.

 * 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 practicesfor model development, monitoring, governance, and continuous improvement.

Patient and Provider Analytics

 * Develop, deployadvanced analytics, machine learning, andAI solutions togenerate actionable insightsinto patient populations, healthcare provider behavior, treatment patterns, anddisease progression.

 * Develop predictive modelsthat support patientidentification, segmentation, treatment initiation,adherence, persistence,and healthcare providerengagement strategies.

 * Integrate and analyzeclaims, electronic healthrecords (EHR), specialtypharmacy, and commercialdata to uncoveropportunities that improvepatient access, providerengagement, and commercialeffectiveness.

 * Partner with Commercial, Medical Affairs, andInsights & Analytics teamsto translate patientand provider insightsinto evidence-basedbusiness strategies.

 * Communicate complex analyticalfindings clearly toleadership andcross-functional teams.

Leadership and Performance

 * Support a cultureof innovation, collaboration, continuous learning, andtechnical excellence.

 * Manage external vendorsand consulting partners.

 * Operate effectively ina fast-paced, cross-functional environment, managing multiple initiativeswhile ensuring timelyand high-qualityexecution.


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