Principal Data Scientist, Commercialization
Vertex Pharmaceuticals
4 hours ago
Remote friendly (Boston, MA)
United States
Marketing
Key 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 reusable analytics and AI frameworks leveraged across brands and disease areas.
- Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into a 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; set best practices for modeling, experimentation, and impact measurement.
- Mentor and coach junior data scientists.
- Promote responsible and ethical use of AI aligned with governance standards.
Required Education and Experience
- PhD in a quantitative discipline or Master’s degree with significant relevant experience.
- Principal level: typically 5+ years hands-on data science experience.
- Senior Principal (AD) level: typically 8+ years with demonstrated leadership and ownership of complex analytics initiatives.
- Proven experience building and deploying analytical or ML solutions in production.
- For Senior Principal level: experience leading and owning complex projects or products.
- Strongly preferred: experience with healthcare or life sciences data (e.g., claims, EHR, commercial data).
Required Knowledge, Skills, and Abilities
- Strong proficiency in Python and SQL.
- Experience with modern machine learning techniques and model lifecycle management.
- Familiarity with Snowflake and/or Databricks.
- Strong plus: experience building/productionizing LLM-powered or AI-driven applications (e.g., RAG pipelines, agentic workflows).
- Ability to operate effectively in fast-paced, ambiguous environments.
- Strong communication skills for nontechnical audiences.
- Ability to collaborate cross-functionally and influence without authority.
Pay Range
- $152,000 - $228,000
Disclosure/Benefits (as stated)
- Eligible for annual bonus and annual equity awards; other pay may apply.
Flex Designation
- Hybrid-Eligible or On-Site Eligible (Hybrid: remote up to 2 days/week; On-Site: 5 days/week with ad hoc flexibility).
- 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 reusable analytics and AI frameworks leveraged across brands and disease areas.
- Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into a 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; set best practices for modeling, experimentation, and impact measurement.
- Mentor and coach junior data scientists.
- Promote responsible and ethical use of AI aligned with governance standards.
Required Education and Experience
- PhD in a quantitative discipline or Master’s degree with significant relevant experience.
- Principal level: typically 5+ years hands-on data science experience.
- Senior Principal (AD) level: typically 8+ years with demonstrated leadership and ownership of complex analytics initiatives.
- Proven experience building and deploying analytical or ML solutions in production.
- For Senior Principal level: experience leading and owning complex projects or products.
- Strongly preferred: experience with healthcare or life sciences data (e.g., claims, EHR, commercial data).
Required Knowledge, Skills, and Abilities
- Strong proficiency in Python and SQL.
- Experience with modern machine learning techniques and model lifecycle management.
- Familiarity with Snowflake and/or Databricks.
- Strong plus: experience building/productionizing LLM-powered or AI-driven applications (e.g., RAG pipelines, agentic workflows).
- Ability to operate effectively in fast-paced, ambiguous environments.
- Strong communication skills for nontechnical audiences.
- Ability to collaborate cross-functionally and influence without authority.
Pay Range
- $152,000 - $228,000
Disclosure/Benefits (as stated)
- Eligible for annual bonus and annual equity awards; other pay may apply.
Flex Designation
- Hybrid-Eligible or On-Site Eligible (Hybrid: remote up to 2 days/week; On-Site: 5 days/week with ad hoc flexibility).