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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Healthcare ( Hybrid / New York... - **Company:** Assistrx, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, A/B Testing, Data Governance, Data Transformation, Python (Programming Language), Knowledge Management, Machine Learning, NumPy, Power BI, SciPy, SQL Databases, Data Processing, Snowflake, Pandas, Scikit Learn, Information Technology - **Published:** May 19, 2026 - **Apply:** https://www.juju.com/job/00000000g0x24d ## About the Role 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., * 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 ## 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., 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 ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Vectorize all the things! 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