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AssistRx

Specialty therapy access technology

Vice President - Healthcare Data Insights

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • The candidate must have 7–10 years of progressive experience in healthcare analytics, with direct and substantive experience in pharmaceutical manufacturer commercial, market access, or patient services analytics; pharma consulting; a health insurer; or a pharmacy benefit manager.
  • The candidate must have demonstrated experience managing or leading a small analytics team and be able to sustain personal analytical contribution alongside people-management responsibilities.
  • The candidate must have advanced proficiency in SQL and hands-on experience querying and manipulating data in cloud data warehouse environments.
  • The candidate must be proficient in Python or R.
  • The candidate must have strong working knowledge of statistical methods applicable to program analytics, including cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based performance metrics, experimental design, and A/B testing frameworks.
  • The candidate must be able to communicate complex analytical findings to senior non-technical stakeholders and have strong written and verbal presentation skills.
  • The candidate must have a bachelor's degree in a quantitative field such as statistics, mathematics, data science, computer science, or economics, or a related field.

Responsibilities

  • Lead, mentor, and develop a team of three Data Scientists while maintaining sustained personal analytical output alongside team management responsibilities.
  • Set and maintain analytical standards, review team work product, and allocate capacity across concurrent client engagements.
  • Contribute to hiring, onboarding, and capability development as the function scales.
  • Own end-to-end delivery of program analytics for assigned pharmaceutical manufacturer clients, including quarterly business review preparation, ad hoc analyses, and ongoing insight production.
  • Serve as the primary analytical point of contact for senior client stakeholders and present findings to market access leaders, patient services teams, and executive sponsors.
  • Partner with the Commercial team on analytical content for renewals, new business proposals, and strategic account planning.
  • Define and maintain a standardized KPI framework for hub program performance spanning six predefined families.
  • Lead proactive, hypothesis-driven analysis across patient throughput, stage conversion rates, payor dynamics, HCP-level behavior patterns, adherence trajectories, and financial program utilization.
  • Translate analytical findings into executive summaries, trend narratives, and operational recommendations for manufacturer client audiences.
  • Collaborate with data engineering, Master Data Management, and BI architecture teams to define data requirements and ensure analytical inputs are reliable, consistently defined, and properly governed.
  • Guide migration of validated ad hoc analyses into productized ThoughtSpot dashboards, contributing to the long-term self-service analytics strategy.
  • Identify and help resolve upstream data quality and governance issues that affect insight reliability.
  • Support commercial positioning of the ITA capability with Business Development leadership, including input to RFP responses, pricing discussions, and go-to-market materials.
  • Contribute to defining the ITA product roadmap, from ad hoc delivery to a scalable, monetizable analytics offering.

Desired Qualifications

  • Snowflake experience is strongly preferred.
  • Python is preferred over R, including familiarity with pandas, numpy, scipy, and scikit-learn.
  • Experience with ThoughtSpot or Power BI is preferred.
  • An advanced degree is preferred.
  • Direct experience with pharmaceutical hub program operations, including case management workflows, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs.
  • Familiarity with specialty pharmacy data structures and source systems, including CRM, pharmacy dispensing systems, and benefits verification platforms.
  • Experience with patient access or market access analytics at a pharmaceutical manufacturer, including program performance tracking and payor dynamics analysis.
  • Background in pharma consulting focused on analytics, commercial operations, or market access strategy.
  • Experience at a health insurer or PBM involving formulary analytics, utilization management, specialty drug analysis, or patient access reporting.
  • Experience developing or contributing to a commercial analytics product or client-facing insights offering.
  • Familiarity with generative AI applications in analytics workflows, such as natural language querying, synthetic data generation, or entity resolution.
  • Familiarity with dbt or similar data transformation frameworks.

About the Company

AssistRx

Specialty therapy access technology

Operating as a technology and services company supporting access to specialty therapies, AssistRx focuses on its stated market and service model. Its platform and teams help life-sciences companies, healthcare providers, and patients navigate enrollment, benefits, affordability, and ongoing support processes. Software, data, pharmacy-service, and operational capabilities connect stakeholders across the treatment-access journey. Roles include engineering, product, pharmacy operations, patient support, analytics, implementation, compliance, and commercial work. The profile is AssistRx and avoids presenting administrative support as clinical care.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2009

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