Rural Health Program Data Scientist

This is a fully remote position, open to applicants in New Mexico.

📋 Description

• Oversees advanced analytics, modeling, and data strategy efforts that back statewide rural health transformation initiatives.

• Creates predictive and prescriptive analytics to guide program strategy, enhance provider performance, and facilitate decision-making.

• Designs and executes statistical models, machine learning techniques, and sophisticated analytical frameworks to evaluate provider performance, uncover trends, and produce actionable insights.

• Aids in the development of performance metrics related to access, quality, financial viability, and workforce stability.

• Partners with data, technical assistance, and program teams to convert complex datasets into valuable insights for state leadership and provider stakeholders.

• Constructs dashboards, analytical tools, and visualization products to assist in program monitoring and reporting.

• Facilitates the integration and management of various data sources, including program data, claims, operational metrics, and external datasets.

• Ensures the quality, consistency, and compliance of data with reporting standards.

• Offers technical expertise on data governance, analytics methodologies, and result interpretation.

• Assists in the preparation of analytical documentation and contributes to audit-ready reporting frameworks.

• Up to 25% travel may be necessary.

⛳️ Requirements

• Master’s degree in data science, biostatistics, epidemiology, health informatics, or a related field is mandatory.

• At least 5 years of experience in advanced analytics, statistical modeling, or data science, ideally within healthcare or public-sector contexts.

• Proficiency in machine learning, predictive analytics, and statistical analysis techniques is essential.

• Advanced skills in Python, R, SQL, or comparable analytical tools are required.

• Experience in creating dashboards and data visualizations utilizing Power BI, Tableau, or similar platforms is preferred.

• Familiarity with healthcare data, such as claims, clinical, or operational datasets is advantageous.

• Capacity to translate complex analytical findings into actionable insights for non-technical stakeholders.

• Experience supporting Medicaid, CMS, or federally funded initiatives is preferred.

• Strong problem-solving abilities and the capacity to collaborate within multi-disciplinary teams are essential.

🏝️ Benefits

• Health insurance

• Retirement plans

• Professional development opportunities

• Paid time off

• Flexible work arrangements