About Equity Quotient:

Equity Quotient is a population health data and analytics platform that improves outcomes, elevates quality, and helps lower the cost of care.

By aggregating diverse datasets, running proprietary analytics, and automating reporting, we streamline compliance, optimize performance, and drive measurable impact for healthcare organizations and communities.

Our platform empowers leaders to close equity gaps, advance health outcomes, and build resilient, sustainable systems that thrive in a rapidly evolving healthcare landscape.

Job Overview:

We are seeking a highly skilled and motivated Healthcare Data Scientist with specialized experience in working with Centers for Medicare & Medicaid Services (CMS) data. The ideal candidate will possess a deep understanding of healthcare analytics, statistical modeling, and data-driven decision-making. You will be critical in extracting actionable insights from large-scale healthcare datasets, improving operational performance, and informing strategic initiatives.

This position offers the opportunity to leverage your expertise in healthcare data to make a meaningful impact on patient outcomes, cost management, and policy optimization.

Key Responsibilities:

Data Management & Integration:

Collect, clean, and process large volumes of structured and unstructured CMS data (e.g., Medicare, Medicaid claims data, Part D, beneficiary-level data, etc.), integrating it with other healthcare datasets (e.g., electronic health records, provider data, etc.).

Statistical Modeling & Analysis:

Develop and apply advanced statistical models, machine learning algorithms, and predictive analytics to uncover trends, patterns, and insights in CMS data that drive informed healthcare decision-making.

Reporting & Visualization:

Generate insightful, data-driven reports and visualizations that summarize key findings for both technical and non-technical stakeholders. Use tools like Tableau, Power BI, or Python-based visualization libraries (e.g., Matplotlib, Seaborn) to present complex data in an accessible format.

Healthcare Organization Evaluation:

Conduct assessments of healthcare organizations across the U.S., developing advanced analytic models to evaluate cost-effectiveness, quality measures, patient satisfaction, and health equity.

Collaboration & Communication:

Work closely with hospital systems, health plans, and other healthcare-focused organizations to translate business needs into actionable data science solutions leveraging Equity Quotient’s core technology platform. Clearly communicate technical findings to cross-functional teams, providing strategic recommendations to optimize care delivery and reduce costs.

Regulatory Compliance & Data Governance:

Ensure all data usage complies with CMS regulations, HIPAA, and other healthcare privacy standards. Maintain a strong understanding of CMS rules, policies, and data access restrictions.

Continuous Improvement & Innovation:

Stay current with the latest developments in healthcare data science, machine learning techniques, and CMS-related regulations. Contribute to the evolution of best practices in healthcare analytics and data science.

Qualifications:

Education:

Master’s degree or Ph.D. in Data Science, Statistics, Healthcare Economics, Epidemiology, Public Health, Healthcare Informatics, or a related field.

Experience:

10+ years of experience in healthcare data analytics, with a proven track record of working with CMS data (e.g., Medicare, Medicaid, or Part D claims data).
Hands-on experience with healthcare data processing, cleaning, and analysis, particularly for large-scale, longitudinal datasets.
Strong expertise in statistical analysis (e.g., regression modeling, hypothesis testing) and machine learning techniques (e.g., decision trees, clustering, classification).
Experience working in a leading national healthcare organization in the hospital system, health plan, academia, and/or health policy space is highly desirable.
Technical Skills:
Proficiency in SQL for data extraction and manipulation.
Strong knowledge of data science programming languages (e.g., Python, R).
Experience with Big Data technologies (e.g., Snowflake, AWS).
Familiarity with healthcare data sets (e.g., CMS PDC and claims and private data sources profiling patients, hospitals, and other socioeconomic factors impacting the cost of care and health outcomes).
Understanding of data governance, privacy standards, and regulations related to CMS data.

Analytical Skills:

Demonstrated ability to perform complex data analysis and translate findings into actionable insights.
Experience in data visualization and presenting results to non-technical stakeholders.

Soft Skills:

Strong communication skills, with the ability to convey complex technical concepts in a clear and concise manner.
Ability to work independently as well as collaboratively in a cross-functional team environment.
Detail-oriented with excellent problem-solving skills and a proactive approach to challenges.

Preferred Qualifications:

Experience with advanced benchmarking and assessment models as well as quality measurement frameworks.
Familiarity with CMS quality reporting programs, such as Star Ratings or HEDIS.
Knowledge of healthcare policy and reimbursement structures, especially related to CMS programs.

Why Join Us?

Impactful Work: You’ll have the opportunity to improve the quality of care and outcomes at all levels across the U.S. healthcare system.
Collaborative Environment: Join a dynamic, multidisciplinary team passionate about leveraging data to drive meaningful change in healthcare.
Career Growth: We invest in your professional development and offer opportunities for career advancement in data science, analytics, and healthcare strategy.

How to Apply:

Please submit your resume, cover letter, and a portfolio of relevant projects (if applicable) to christina@equityquotient.io. We look forward to hearing from you!

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