Data Scientist, ITA

AssistRx, Inc.; New York (NY); On-site; USD 105,000 - 134,000; Full time

Job summary

AssistRx, Inc. is seeking a Data Scientist for the ITA program to lead analytical design and model execution. You will generate KPI-based insights, craft client-facing outputs, and help build ThoughtSpot and Power BI dashboards that demonstrate value in specialty pharmacy programs.

You will work closely with the Director/VP and fellow data scientists to ensure rigorous methodology, clear storytelling, and audience-appropriate communication across payer, plan sponsor, and provider stakeholders.

Qualifications

• 5 years of healthcare analytics or related field experience.
• Experience producing structured, audience-ready analytical outputs.
• Familiarity with pharmaceutical hub program workflows is a plus.
• Strong written and verbal communication skills.

Responsibilities

• Design and execute ad hoc and recurring analyses for ITA engagements across KPI families.
• Build and maintain analytical models with rigorous methodology.
• Develop cohort analyses, survival curves, regression models, and distribution metrics.
• Create client-ready exhibits and narratives for non-technical stakeholders.
• Contribute to QBR preparation, data pulls, visualizations, and reporting.
• Document methodologies and data transformations for reproducibility.
• Assist in prototyping dashboards (ThoughtSpot/Power BI).
• Stay current on healthcare analytics methods and ML applications.

Skills

SQL proficiency

Python

Statistics

Audience communication

Data visualization

Public speaking

Generative AI awareness

Power BI

ThoughtSpot

dbt familiarity

Education

Bachelor’s degree in statistics, mathematics, data science, computer science, economics

Advanced degree a plus

Tools

Snowflake

Pandas/Numpy/Scikit-learn

Power BI

ThoughtSpot

dbt

Job description

Overview

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

Qualifications

• 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

Pay Range

USD $105,000.00 - USD $133,500.26 /Yr.