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# Data Scientist-Medicare Part D & Market Access

- **Company:** ADVI Health, LLC
- **Location:** Washington, DC, United States (Remote available)
- **Salary:** $90,000 - $140,000
- **Contract:** Franchise
- **Skills:** Big Data, Clinical Data Repository, Data Files, Data Mining, Fraud Prevention and Detection, Python (Programming Language), Cloud Services, SAS (Software), SQL Databases, Information Technology
- **Published:** November 13, 2026
- **Apply:** https://www.juju.com/job/16_d211c4652

## About the Role

* Bachelor's degree in Computer Science, Data Science, Biostatistics, Epidemiology, Public Health, Health Economics, or another quantitative discipline.
 * Hands-on experience working with Medicare PDE data is required.
 * Professional experience using SAS.
 * Experience in healthcare analytics, HEOR, RWE, observational research, or a related field.
 * Experience working with healthcare claims and pharmacy data.
 * Familiarity with Medicare and Medicaid data, reimbursement, and healthcare policy.
 * Experience with CMS Chronic Conditions Warehouse (CCW), Virtual Research Data Center (VRDC), T-MSIS, or similar healthcare data environments.
 * Strong analytical, problem-solving, and communication skills.
 * Ability to work collaboratively in a consulting environment and manage multiple project priorities.

## Description

* Advanced Analytics & Modeling: Develop, validate, and deploy predictive and statistical models in Python or R to forecast prescription drug spending, patient utilization, and market shifts.
 * Medicare Part D Optimization: Analyze Prescription Drug Event (PDE) claims, formulary tier structures, and beneficiary out-of-pocket costs to optimize plan performance and market positioning.
 * Large-Scale Data Engineering: Query, clean, and synthesize massive, unstructured administrative healthcare datasets, including public and restricted CMS data files, using SQL and cloud data platforms.
 * Fraud & Risk Assessment: Build data-mining algorithms to identify market anomalies, track attrition rates, and detect potential fraud, waste, or abuse.
 * Cross-Functional Collaboration: Partner closely with market access professionals, health economists, and consulting associates to translate analytical findings into strategic reports for pharmaceutical and precision medicine clients.
 * Regulatory Alignment: Continuously adapt existing data models to reflect changing federal healthcare regulations, benefit redesigns, and modern payment structures.

This is an opportunity to work at the intersection of data science, real-world evidence, health economics, and market access-with your work contributing directly to client recommendations and strategic decision-making.

Duties Include:

 * Design and conduct analyses using Medicare, Medicaid, commercial claims, pharmacy, EHR, and other real-world healthcare data.
 * Work extensively with CMS data, including PDE data, CCW, VRDC, and other Medicare and Medicaid data sources.
 * Develop and maintain analytical programs using SAS, with additional experience in SQL, R, or Python valued.
 * Contribute to observational research and real-world evidence studies supporting life sciences clients.
 * Partner with consultants and subject-matter experts to translate analytical findings into clear, actionable insights.
 * Support the development of client-facing presentations, reports, exhibits, and other deliverables.
 * Communicate complex analytical concepts and findings to both technical and non-technical audiences.
 * Apply rigorous programming, documentation, validation, and quality assurance practices to ensure analytical integrity.
 * Contribute to projects spanning market access, reimbursement, pricing, healthcare policy, and value strategy., Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements.