Associate Director, Data Science and Ai, Us Commercial

Biogen

Cambridge, MA, United States
Base: $170,000.00-$233,750.00; bonus/equity: cash ...
Advanced modeling solutions
Marketing optimization
Patient-level predictive analytics
This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies

Job Summary

  • This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies.
  • As a hands-on contributor, you will guide and execute while collaborating with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities.
  • The base compensation range for this role is: $170,000.00-$233,750.00; Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities; 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.

Matching Summary

This role will be responsible for leading high-impact data science initiatives including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies.

Salary

Base: $170,000.00-$233,750.00; Bonus/Equity: cash bonus and equity incentive opportunities; Benefits: Medical, Dental, Vision, & Life insurances, Fitness & Wellness programs, Disability insurance, paid vacation, holidays, paid time off, paid parental leave, 401(k) program, Employee stock purchase plan, Tuition reimbursement

Skills & Requirements

Must-have

  • advanced modeling solutions
  • marketing optimization
  • patient-level predictive analytics
  • machine learning-based personalization
  • field force effectiveness strategies
  • NLP and LLMs
  • ML Ops and Dev Ops

Nice-to-have

  • thought partner to commercial leadership
  • agile ways of working
  • championing the use of data and AI
  • responsible experimentation
  • model governance best practices

Key Requirements

  • 7+ years of hands-on analytics or data science experience
  • 4+ years leading data science Product build and / or teams / programs
  • Strong command of statistical modeling
  • Experience deploying data science solutions in a commercial setting
  • Proficient in Python, R, SQL, and Snowflake
  • Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets

Work Rights

Not specified

Tailored Resume

Cover Letter