> Markdown version of [/jobs/ext/3864861-senior-data-science-manager-predictive-analytics-ai-us-commercial](https://www.wearedevelopers.com/jobs/ext/3864861-senior-data-science-manager-predictive-analytics-ai-us-commercial). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Science Manager, Predictive Analytics & 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, Computer Programming, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Enterprise Data Management, Snowflake, Electronic Medical Records, Information Technology, Optimization Algorithms, Veeva, Databricks
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b72bf759f89e0b81

## 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 e xperience 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.

## Description

AI & Data Science Leadership

 * D esign, develop and validat e 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

 * D evelo p , 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.