Data Scientist, Revenue Cycle

Join the transformative team at City of Hope, where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in Atlanta, Chicago and Phoenix. Our dedicated and compassionate employees are driven by a common mission\: To deliver the cures of tomorrow to the people who need them today.

The Data Scientist will query and analyze large, complex datasets to generate insights that support revenue cycle optimization across an evolving cancer care delivery environment. This role applies advanced analytics, statistical modeling, and machine learning techniques to improve financial performance, streamline end-to-end revenue cycle operations, and enhance the patient financial experience. Working closely with revenue cycle leadership, clinical teams, and IT partners, this role translates data into actionable strategies that improve reimbursement, reduce denials, and optimize operational efficiency.

As a successful candidate, you will\:

• Partner with revenue cycle, finance, and operational leaders to drive data-informed decision making across billing, coding, and collections
• Analyze large datasets from EHR, billing, claims, and financial systems to identify revenue leakage and optimization opportunities
• Develop and deploy predictive models to improve denials management, cash collections, and reimbursement outcomes
• Design and implement pilots to test and optimize revenue cycle strategies in real-time environments
• Build dashboards and visualizations to monitor KPIs such as AR days, denial rates, and net revenue performance
• Translate complex data findings into actionable insights for operational and executive stakeholders
• Identify trends and patterns related to payer performance, coding accuracy, and claim adjudication
• Lead analytics projects that support revenue cycle transformation and process improvement initiatives
• Collaborate cross-functionally with IT and clinical teams to enhance data quality and reporting capabilities