Principal Data Scientist, Commercialization

Vertex PharmaceuticalsBoston, MA
Hybrid

About The Position

We are looking for a deeply technical, intellectually curious Principal S cientist who is excited about the power of AI and motivated to ship solutions that meaningfully change how commercial teams operate . You will join a high impact Commercial AI and Data Science team working at the intersection of AI, data engineering, and commercial strategy. The team supports a growing portfolio of production AI applications built on a modern Snowflake and Databricks architecture. This role is ideal for a hands - on expert who codes, experiments, and delivers AI solutions, and who is eager to become a technical leader in advanced ML and AI methods that push the boundaries of what pharma commercial teams can do.

Requirements

  • PhD in a quantitative discipline (e.g., Statistics, Computer Science, Engineering, Applied Mathematics) or Master’s degree with significant relevant experience.
  • Principal level: typically , 5 + years of hands - on data science experience.
  • Senior Principal (AD) level: typically , 8+ years of experience with demonstrated leadership and ownership of complex analytics initiatives.
  • Proven experience building and deploying analytical or ML solutions in production environments.
  • Strong proficiency in Python and SQL .
  • Experience with modern machine learning techniques and model lifecycle management.
  • Familiarity with cloud based data platforms such as Snowflake and/or Databricks .
  • Ability to operate effectively in fast paced , ambiguous environments where decisions are made with clear goals but imperfect data.
  • Strong communication skills, with the ability to convey complex analytical concepts to non technical audiences.
  • Demonstrated ability to collaborate cross functionally and influence without authority.

Nice To Haves

  • Experience working with healthcare or life sciences data (e.g., claims, EHR, commercial data) is strongly preferred.
  • Experience building or productionizing LLM - powered or AI - driven applications (e.g., RAG pipelines, agentic workflows) is a strong plus.

Responsibilities

  • 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.
  • Build and enhance Next Best Action models, including propensity scoring, HCP segmentation, and recommendation engines.
  • Develop patient and HCP analytics to support targeting, activation, and reactivation strategies.
  • Apply causal inference and experimental methods to assess the impact of marketing and field interventions.
  • Develop and support production grade AI solutions and decision support tools.
  • Partner with data engineering and platform teams to ensure solutions are scalable, compliant, and production ready within Snowflake and Databricks environments.
  • Contribute to the evolution of reusable analytics and AI frameworks that can be leveraged across brands and disease areas.
  • Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into scalable solution roadmap .
  • Translate complex analytical outputs into clear, actionable insights for nontechnical stakeholders and senior leadership.
  • Support launch readiness, postlaunch optimization, and ongoing performance management through data driven recommendations.
  • Serve as a technical leader within the Commercial AI and Data Science team, setting best practices for modeling, experimentation, and impact measurement.
  • Mentor and coach junior data scientists, contributing to capability development and a strong analytics culture.
  • Promote responsible and ethical use of AI in alignment with Vertex values and governance standards.

Benefits

  • annual bonus
  • annual equity awards
  • medical, dental and vision benefits
  • generous paid time off (including a week-long company shutdown in the Summer and the Winter)
  • educational assistance programs including student loan repayment
  • a generous commuting subsidy
  • matching charitable donations
  • 401(k)
  • inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

Ph.D. or professional degree

Number of Employees

1,001-5,000 employees

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