Data Scientist, ITA

AssistRx, LLC seeks a Data Scientist, ITA to serve as a primary analytical contributor for healthcare program performance analytics. The role designs and executes analytical models, delivers program insights across KPI families, and supports client-facing deliverables including QBR materials and insight-focused dashboards.

Role Responsibilities

• Design and execute ad hoc and recurring analyses for ITA client engagements across six defined KPI families.
• Build and maintain analytical models within the six KPI families, spanning patient outcomes through data quality, with consistent definitions, reproducible methodology, and appropriate statistical rigor.
• Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics to surface actionable insights.
• Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods, framing findings as hypotheses supported by evidence.
• Support quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP.
• Create clean, client-ready analytical exhibits such as charts, tables, and written summaries formatted for manufacturer audiences, including market access leadership and patient services teams.
• Act as a technical resource in select client meetings, communicating methodology and findings clearly to non-technical stakeholders.
• Define analytical specifications and prototype outputs for validated insights, partnering with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards.
• Own the analytical logic, acceptance criteria, and narrative framing for dashboard delivery while the report development team manages the production build.
• Maintain documentation covering analytical methodologies, data transformations, and code to support reproducibility and team knowledge management.
• Surface upstream data quality issues that affect insight reliability and partner with data governance teams on remediation.
• Contribute to the evolution of the ITA analytical framework as new client engagements introduce novel questions and additional KPI families.
• Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis.

Required Qualifications

• Approximately 5 years of experience in healthcare analytics, including direct experience in one or more areas: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM).
• Strong proficiency in SQL.
• Experience querying and manipulating data in cloud data warehouse environments, with Snowflake preferred.
• Python or R required; Python preferred (pandas, numpy, scipy, scikit-learn).
• Working knowledge of statistical methods for program performance analysis, including cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks.
• Experience producing structured, audience-ready analytical outputs and strong attention to how findings are communicated.
• Clear, organized written and verbal communication skills, including the ability to explain quantitative findings in plain language.
• Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus.

Technologies

• SQL, Python, R
• pandas, numpy, scipy, scikit-learn
• Snowflake
• ThoughtSpot, Power BI
• dbt

Preferred Qualifications

• Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs.
• Experience working with specialty pharmacy data structures and source systems (CRM, pharmacy dispensing platforms, benefits verification systems).
• Background in patient access or market access analytics at a pharmaceutical manufacturer, including program KPI development and payor-level performance analysis.
• Experience with a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting.
• Experience with ThoughtSpot or Power BI.
• Exposure to or curiosity about generative AI applications in analytics workflows (natural language querying, entity resolution, or automated insight generation).
• Experience contributing to a client-facing analytics product or repeatable analytical framework.
• Familiarity with dbt or similar data transformation frameworks.

Location and Compensation

• Location: New York, NY (onsite)
• Salary Range: USD 105,000 - 133,500 per yearly