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# Data Scientist, ITA

- **Company:** Assistrx, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $105,000.0 - $133,500.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, A/B Testing, Health Informatics, Data Governance, Data Transformation, Data Structures, Python (Programming Language), Knowledge Management, Machine Learning, NumPy, Power BI, SciPy, SQL Databases, Data Processing, Snowflake, Pandas, Scikit Learn, Information Technology
- **Published:** August 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=fecee082a13efc13

## About the Role

* Approximately 5 years of experience in healthcare analytics, with direct 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)Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred)Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn)Working knowledge of statistical methods applicable to program performance analysis: 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, not just raw analyses; strong attention to how findings are communicated, not just computed
 * Clear, organized written and verbal communication skills; 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
 * (Preferred) Familiarity with pharmaceutical hub program workflows, including case management, prior authorization, benefits verification, payor adjudication, and patient financial assistance programs
 * (Preferred) 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
 * (Preferred) Analytical experience at a health insurer or PBM, particularly in formulary analytics, specialty drug utilization, or patient access reporting
 * (Preferred) Experience with ThoughtSpot or Power BI preferred
 * (Preferred) Exposure to or curiosity about generative AI and its 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
 * (Preferred) Familiarity with dbt or similar data transformation frameworks

## Description

The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs (pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding) that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape.
Responsibilities:

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


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