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Biogen
Biogen
5,001 – 10,000 Employees
H1B Visa SponsorBiotechnologyHealthcareManufacturing
Biogen is a biotechnology and healthcare company focused on researching, developing, and delivering treatments for serious neurological conditions. Its work spans diseases such as Alzheimer’s disease, multiple sclerosis, and spinal muscular atrophy, combining clinical research, scientific collaboration, and drug development to advance neurology. The company also emphasizes improving access to care and supporting greater equity in healthcare.
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Senior Data Science Manager, Predictive Analytics and AI | Biogen

Lead predictive analytics, machine learning, and AI initiatives for Biogen’s U.S. commercial biotechnology organization. Generate insights into patients, healthcare providers, treatment patterns, and disease progression.

USUnited StatesNCNorth CarolinaHybridFull-timeSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Create, validate, and support machine learning and predictive analytics solutions for the U.S. Commercial function
  • Assess business and analytical requirements, then apply suitable statistical, machine learning, and AI approaches
  • Establish and improve practices for model development, monitoring, governance, and ongoing optimization
  • Deliver advanced analytics, machine learning, and AI solutions that inform understanding of patient populations, provider behavior, treatment patterns, and disease progression
  • Build predictive models for patient identification, segmentation, treatment initiation, adherence, persistence, and provider engagement
  • Combine and examine claims, electronic health records, specialty pharmacy, and commercial datasets
  • Work with Commercial, Medical Affairs, and Insights & Analytics teams to turn findings into evidence-based strategies
  • Present complex analytical results to executives and cross-functional stakeholders
  • Contribute to an environment focused on innovation, collaboration, continuous development, and technical quality
  • Oversee external vendors and consulting relationships
  • Coordinate multiple initiatives and deliver work on schedule and to a high standard
  • Report to the Director of Predictive Sciences

Requirements

  • Bachelor’s degree plus at least five years of experience, or a master’s degree plus at least three years, in data science, computer science, statistics, mathematics, engineering, economics, or a related quantitative discipline
  • At least three years of experience supporting U.S. Commercial teams in the pharmaceutical or biotechnology sector
  • Proficiency in Python and SQL
  • Experience using Databricks, Snowflake, and Power BI
  • Advanced knowledge of machine learning, statistical modeling, predictive analytics, and optimization
  • Familiarity with commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, claims, and electronic health records
  • Strong communication and stakeholder management abilities
  • Availability for approximately 10–20% travel as required
  • Ability to work hybrid, including three days per week onsite at the Research Triangle Park, North Carolina office

Benefits

  • Eligibility for short- and long-term incentive programs, including cash bonuses and equity opportunities, for regular employees
  • Medical, dental, vision, and life insurance coverage
  • Fitness and wellness offerings, including fitness reimbursement
  • Short- and long-term disability insurance
  • At least 15 days of paid vacation
  • Additional year-end closure leave from December 26 through December 31
  • Up to 12 company-paid holidays
  • Three paid days off for personal significance
  • 80 hours of sick leave per calendar year
  • Paid maternity and parental leave
  • 401(k) participation with company matching contributions
  • Employee stock purchase plan
  • Tuition reimbursement of up to $10,000 per calendar year
  • Opportunities to participate in Employee Resource Groups

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