Data Scientist, Revenue Cycle

Cancer Treatment Centers of America, Inc.; United States; Hybrid; USD 95,000 - 140,000; Full time

Job summary

City of Hope is seeking a Data Scientist to drive analytics across the revenue cycle, including denial management, denials reduction, and cash optimization.

The role involves building predictive models, dashboards, and data products using Python, SQL, and visualization tools to inform leadership decisions and improve patient financial experience. Collaboration spans finance, IT, and clinical teams across multiple campuses.

Qualifications

• Master’s or Bachelor’s degree with relevant experience in data analytics, statistics, or ML.
• Proficiency in SQL databases and data visualization tools.
• Experience with cloud platforms and big data environments.

Responsibilities

• Query and analyze large, complex datasets to generate insights for revenue cycle optimization.
• Apply analytics and ML techniques to improve financial performance and patient financial experience.
• Collaborate with revenue cycle leadership, clinical teams, and IT partners to translate data into strategies.
• Develop and deploy predictive models to improve denials management and cash collections.
• Create dashboards to monitor KPIs like AR days, denial rates, and net revenue.
• Lead cross-functional analytics projects and drive data-informed decision making.
• Ensure data quality and reporting capabilities across IT and clinical teams.

Skills

Data analytics

Statistical modeling

Machine learning

Python

R

Java

C/C++

SQL

Tableau

Snowflake

AWS

Azure

Education

Master’s degree

Bachelor’s degree

Tools

Snowflake

Tableau

AWS

Azure

SQL

Job description

Overview

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 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 employees are driven by a common mission: To deliver the cures of tomorrow to the people who need them today.

Responsibilities

• 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.
• Work closely with revenue cycle leadership, clinical teams, and IT partners; translate data into actionable strategies that improve reimbursement, reduce denials, and optimize operational efficiency.
• 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.

Qualifications

• 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 programming languages 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.
• Experience with cloud platforms such as AWS or Azure and modern data science tools preferred.

City of Hope is an equal opportunity employer.