Principal Data Scientist, Commercialization

Vrtx

Boston, MA, United States
Base: $152,000 - $228,000; bonus/equity: eligible ...
On-site
Design, develop, and deploy ai solutions
Build next best action models
Develop patient and hcp analytics
Design, develop, and deploy advanced analytical and machine learning solutions to support commercial decision making for hundreds of users across multiple disease areas and modalities

Job Summary

  • Design, develop, and deploy advanced analytical and machine learning solutions to support commercial decision making for hundreds of users across multiple disease areas and modalities.
  • Partner with data engineering and platform teams to ensure solutions are scalable, compliant, and production-ready within Snowflake and Databricks environments.
  • Serve as a technical leader within the Commercial AI and Data Science team, setting best practices for modeling, experimentation, and impact measurement.

Matching Summary

Design, develop, and deploy advanced analytical and machine learning solutions to support commercial decision making for hundreds of users across multiple disease areas and modalities.

Salary

Base: $152,000 - $228,000; Bonus/Equity: eligible for annual bonus and equity awards; Benefits: inclusive market-leading benefits

Skills & Requirements

Must-have

  • design, develop, and deploy AI solutions
  • build Next Best Action models
  • develop patient and HCP analytics
  • apply causal inference methods
  • develop production-grade AI solutions
  • partner with data engineering teams
  • translate business requirements to roadmaps
  • translate complex outputs to actionable insights
  • support launch readiness and optimization
  • serve as technical leader
  • mentor junior data scientists
  • promote responsible AI use
  • proficiency in Python and SQL
  • experience with modern ML techniques
  • familiarity with Snowflake and Databricks
  • operate in fast-paced environments
  • strong communication skills
  • collaborate cross-functionally

Nice-to-have

  • experience with LLM-powered applications
  • experience in pharma commercial teams
  • experience with healthcare or life sciences data

Key Requirements

  • PhD or Master's degree with significant relevant experience
  • 5+ years of hands-on data science experience
  • 8+ years of experience with demonstrated leadership (for Senior Principal)
  • Proven experience building and deploying ML solutions in production
  • Experience leading and owning complex projects (for Senior Principal)

Work Rights

Not specified

Tailored Resume

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