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Senior Researcher/Analyst
Index Analytics LLC. Conduct research on best practices and analyze Medicaid and Children’s Health Insurance Program (CHIP) data sources, including claims, TAF, program oversight metrics, scorecards, and performance data .
Posted 10/6/2026full-timeRemote • Maryland • United StatesSenior💰 $140,000 - $200,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in conducting complex data analyses and developing predictive models using Medicaid and CHIP data, while effectively communicating findings to diverse audiences. Proficient in statistical methods, data visualization techniques, and agile collaboration with cross-functional teams.
Highest-signal resume keywords
Data AnalysisPredictive ModelingStatistical MethodsSQL or PySparkData Visualization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical MethodsData AnalysisPredictive ModelingData VisualizationResearch StudiesAnalytic Use CasesText AnalyticsNatural Language ProcessingPythonR
Soft Skills
Excellent Communication SkillsPresentation Skills
Tools & Technologies
SQLPySparkTAF DataCMS-416T Reports
Industry Keywords
MedicaidChildren’s Health Insurance ProgramCenter for Medicare & Medicaid ServicesHealth PolicyAgile Environment
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Conduct research on best practices and analyze Medicaid and Children’s Health Insurance Program (CHIP) data sources, including claims, TAF, program oversight metrics, scorecards, and performance data
- Identify patterns, clusters, and insights that inform policy, operational improvements, and feature development for CMS business needs
- Perform routine and exploratory data analysis using statistical methods, predictive modeling, and data mining techniques
- Build predictive models, uncover trends, and generate actionable insights
- Develop and deliver reports, ad hoc analyses, and data visualizations grounded in HCD and UX best practices
- Collaborate in an agile environment with data analysts, data scientists, and internal/external clients
- Define analytical requirements, develop value-added solutions, and enhance business operations
- Lead development of analytic products using Medicaid and CHIP data for pilot studies, operational dashboards, and reporting dashboards
- Conduct research, data discovery, analysis, and validation
- Manage development and release of assigned research projects and analytic use cases independently or with a team
- Provide guidance and direction to technical and non-technical staff
- Prepare presentation decks, reports, and draft manuscripts
- Communicate findings to clients and scientific audiences through clear presentations
- Integrate qualitative design research with exploratory data analysis to support improved health policy and outcomes
- Review documentation, reference materials, and training materials related to analytic approaches, data structures, data content, and data quality observations
Requirements
What you’ll need- U.S. citizen or otherwise authorized to work in the United States
- Able to demonstrate physical residency in the U.S. for at least 3 of the past 5 years
- Bachelor’s degree with a minimum of 10 years of experience, or equivalent combination of education and experience
- Four years of specialized experience may substitute for a bachelor’s degree
- At least 4 years of experience designing and conducting research studies, implementing analytic use cases, and building ad hoc or planned work products
- Experience applying statistical methods including distributions, hypothesis testing, and regression
- Experience conducting complex data analyses with visualization techniques
- Direct experience performing data analytics using SQL or PySpark
- Hands-on experience with TAF data, CMS-416T reports, and processes for generating state health outcome metrics
- Subject matter expertise in text analytics preferred
- Experience with Natural Language Processing (NLP) techniques using Python or similar technologies is a plus
- Proficiency in Python and R is a plus
- Prior experience with the Center for Medicare & Medicaid Services (CMS) or other government agencies is a plus
- Excellent verbal and written communication skills
- Ability to present complex information clearly to diverse audiences
Benefits
Comp & perks- Career development opportunities
- Educational opportunities
- Supportive and collegial team environment
- Employee-friendly workplace
- Opportunities to reach your potential
- Community of great minds with national impact