[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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