Associate Director, Predictive Analytics

Takeda

Cambridge, MA, USA
Base: $154,400.00 - $242,550.00; bonus/equity: sho...
Hybrid
8+ years pharmaceutical industry experience
5+ years hands-on ai/ml modeling
3 years pharmaceutical commercial analytics
This role drives innovation in predictive modeling and AI technologies to enhance patient identification and HCP targeting for Takeda's US GI Franchise

Job Summary

  • This role drives innovation in predictive modeling and AI technologies to enhance patient identification and HCP targeting for Takeda's US GI Franchise.
  • The successful candidate will lead a team of data scientists while collaborating with cross-functional stakeholders to deploy scalable AI/ML frameworks.
  • Takeda offers a competitive base salary range of $154,400.00 - $242,550.00 along with comprehensive benefits including medical, dental, vision, and 401(k) matching.

Matching Summary

This role drives innovation in predictive modeling and AI technologies to enhance patient identification and HCP targeting for Takeda's US GI Franchise.

Salary

Base: $154,400.00 - $242,550.00; Bonus/Equity: Short-term and/or long-term incentives eligible; Benefits: Medical, dental, vision, 401(k) match, disability, life insurance, tuition reimbursement, paid time off

Skills & Requirements

Must-have

  • 8+ years pharmaceutical industry experience
  • 5+ years hands-on AI/ML modeling
  • 3 years pharmaceutical commercial analytics
  • Python R SQL Databricks proficiency
  • AWS Azure GCP cloud platform familiarity
  • Predictive modeling for patient segmentation
  • NLP recommendation systems expertise

Nice-to-have

  • GenAI and Agentic AI initiatives
  • Strong cross-functional leadership skills
  • Experience with IQVIA Veeva data sources
  • Mentoring high-performing data science teams
  • Strategic consultation with business units

Key Requirements

  • BS/BA in quantitative field required
  • MS/MA preferred
  • US work authorization required
  • Matrix organization leadership experience

Work Rights

Not specified

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