Lead, mentor, and develop a team of three Data Scientists; this is a player-coach role — the expectation is sustained personal analytical output alongside team management responsibilities
Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review (QBR) preparation, ad hoc analyses, and ongoing insight production
Serve as the primary analytical point of contact for senior client stakeholders; present findings to market access leaders, patient services teams, and executive sponsors
Define and maintain a standardized KPI framework for hub program performance spanning six key pre-defined families
Translate analytical findings into executive summaries, trend narratives, and operational recommendations formatted for manufacturer client audiences

7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM)
Demonstrated experience managing or leading a small analytics team; player-coach orientation is essential — this role requires sustained personal contribution alongside people management
Advanced proficiency in SQL; hands-on experience querying and manipulating data in cloud data warehouse environments (Snowflake strongly preferred)
Proficiency in Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn)
Experience with ThoughtSpot or Power BI preferred
Strong working knowledge of statistical methods applicable to program analytics: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, and experimental design and A/B testing frameworks
Demonstrated ability to communicate complex analytical findings to senior non-technical stakeholders; strong written and verbal presentation skills
Bachelor’s degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree preferred.

Supportive, progressive, fast-paced environment
Competitive pay structure
Matching 401(k) with immediate vesting
Medical, dental, vision, life, & short-term disability insurance
Opportunity to impact patient outcomes through data-driven healthcare technology.
Collaborative and mission-driven culture that values innovation and continuous learning.
Access to cutting-edge cloud technologies and modern data engineering tools.
Competitive compensation, comprehensive benefits, and career growth opportunities**

Vice President – Healthcare Data Insights

Key skills