Data Scientist - Healthcare Analytics & AI

Business Summary

We are looking for a Data Scientist to help us make better use of the financial, operational, revenue cycle, and clinical data available across our organization. This role will work closely with Finance, Operations, RCM, IT, and other departments to develop reporting and analytics, identify trends and missed opportunities, and provide insights that support better business decisions. The position will also explore practical uses of AI and modern analytics tools to improve reporting, forecasting, and data analysis.

Key Responsibilities

· Analyze financial, operational, RCM, claims, provider, procedure, and other healthcare data to identify trends and opportunities for improvement.

· Develop financial reporting and dashboards using QuickBooks and other data sources, including consolidated reporting, intercompany adjustments, variance analysis, forecasting, benchmarking, and drill-down capabilities.

· Analyze provider and CPOE activity, including procedure and order volumes, reimbursement impact, protocol compliance, and potential missed opportunities.

· Analyze reimbursement trends by CPT code, payer, provider, location, and service line.

· Monitor denial rates and identify patterns across service lines, locations, procedures, and payers.

· Identify underpayments, collection gaps, revenue leakage, and other opportunities to improve financial performance.

· Partner with department leaders to define meaningful metrics and turn business questions into useful analysis.

· Work with Materials Management to analyze purchasing, utilization, and cost data in support of vendor negotiations and expense management.

· Build dashboards and reports that allow leadership to review high-level performance and drill into supporting details.

· Use statistical and predictive methods for forecasting, trend analysis, anomaly detection, and other business needs.

· Use AI tools such as Claude or similar platforms to support data analysis, automate reporting, summarize findings, and explore new ways to interact with organizational data.

· Coordinate with PTCOA and other business units on analytics and reporting needs.

· Maintain appropriate privacy, security, and handling of PHI and other sensitive information.