Senior Director, Predictive AI for US Commercial

Biogen

Cambridge (MA)

On-site

USD 170,000 - 234,000

Full time

23 hours ago
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Benefits offered by this job

Medical, Dental, Vision, & Life ins.
Fitness & Wellness programs
Paid vacation and holidays
401(k) with company match
Employee stock purchase plan
Tuition reimbursement up to $10,000

Job summary

Biogen is seeking an Associate Director of Data Science & AI to spearhead cutting-edge ML and analytics initiatives across the U.S. Commercial organization.

You will collaborate with Insights & Analytics, Enterprise Data Management, IT, and Medical Affairs to build predictive tools that inform strategy and accelerate growth. Ideal candidates have 8+ years in data science/AI, strong Python/SQL, and experience in pharma/biotech commercial operations.

Qualifications

  • Master's or PhD in Data Science, CS, Statistics, Mathematics, Engineering, Economics or a related field.
  • 8+ years of data science, analytics or AI experience.
  • 5+ years supporting U.S. Commercial in pharma/biotech.
  • 3+ years leading technical teams or large initiatives.
  • Strong programming in Python and SQL.

Responsibilities

  • Lead ML and predictive analytics design, development, validation and deployment for the U.S. Commercial function.
  • Identify opportunities to apply AI and analytics to patient populations and provider behavior.
  • Establish best practices for model development, monitoring and governance.
  • Develop analytics and AI solutions to generate actionable insights into patient and provider behavior.

Skills

Python
SQL
Databricks
Snowflake
Power BI
Leadership
Communication

Education

Master's or PhD in a quantitative field

Tools

IQVIA
Symphony Health
Veeva
Komodo

Job description

Biogen is seeking an Associate Director of Data Science & AI to spearhead cutting-edge ML and analytics initiatives across the U.S. Commercial organization.

You will collaborate with Insights & Analytics, Enterprise Data Management, IT, and Medical Affairs to build predictive tools that inform strategy and accelerate growth. Ideal candidates have 8+ years in data science/AI, strong Python/SQL, and experience in pharma/biotech commercial operations.

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