Principal Data Scientist, CommercializationVertex Pharmaceuticals Incorporated • United States
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Principal Data Scientist, Commercialization
Vertex Pharmaceuticals Incorporated
- United States
- United States
Über
Position Summary: We are looking for a deeply technical, intellectually curious Principal Scientist 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.
Key Responsibilities
Advanced Analytics & AI Delivery:
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.
AI & Platform Enablement:
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.
Commercial Decision Support:
Collaborate with commercial, marketing, and field leadership to define business requirements and translate them into scalable solution roadmaps.
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.
Leadership & Mentorship:
Serve as a technical leader within the Commercial AI and Data Science team, mentoring junior data scientists and promoting responsible and ethical use of AI.
Required Education and Experience
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: 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.
For Senior Principal level: experience leading and owning complex projects or products.
Experience working with healthcare or life sciences data (e.g., claims, EHR, commercial data) is strongly preferred.
Required Knowledge, Skills, and Abilities
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.
Experience building or productionizing LLM-powered or AI-driven applications (e.g., RAG pipelines, agentic workflows) is a strong plus.
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 nontechnical audiences.
Demonstrated ability to collaborate cross-functionally and influence without authority.
Pay Range $152,000 - $228,000
Disclosure Statement The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job‑related factors permitted by law. At Vertex, Total Rewards offerings include inclusive market‑leading benefits to meet employees where they are in their career, financial, family and wellbeing journey. Benefits include medical, dental and vision, paid time off, educational assistance programs, commuting subsidy, matching charitable donations, 401(k), and more.
Flex Designation Flex Eligibility Status:
Hybrid or On‑Site
In this Hybrid‑Eligible role, you can choose to be designated as Hybrid (remote up to two days per week) or On‑Site (five days per week on-site with ad hoc flexibility).
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E‑Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. An accommodation can be requested by contacting the recruiter or Talent Acquisition at ApplicationAssistance@vrtx.com.
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Sprachkenntnisse
- English
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