[Remote] Data Scientist, Revenue Cycle

Note: The job is a remote job and is open to candidates in USA. City of Hope is a transformative organization dedicated to making a difference in the fight against cancer and other life-threatening illnesses. They are seeking a Data Scientist to analyze large datasets and generate insights that support revenue cycle optimization, collaborating with various teams to improve financial performance and operational efficiency.

Responsibilities

• 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

Skills

• Master's degree with 0+ years of experience, or Bachelor's degree with 3+ years of relevant experience
• Experience with data analytics, statistical modeling, and machine learning techniques
• Proficiency in at least one programming language such as Python, R, Java, or C/C++
• Strong experience with SQL and working with relational databases (e.g., Snowflake), along with data visualization tools such as Tableau
• Experience with machine learning methods (e.g., Random Forest, XGBoost, LightGBM) and deep learning techniques (e.g., CNN, RNN, LSTM)
• Demonstrated ability to extract, analyze, and interpret data to develop predictive models and drive financial outcomes
• Experience creating data visualizations and communicating insights to non-technical audiences
• Strong problem-solving skills with the ability to manage complex, cross-functional projects
• Familiarity with healthcare revenue cycle data, EHR systems (EPIC), claims, billing, and payer workflows required
• Experience with cloud platforms such as AWS or Azure and modern data science tools preferred

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