City of Hope is an independent biomedical research and treatment center for cancer, diabetes and other life-threatening diseases.

Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a wholly owned subsidiary, was launched in 2019 and is dedicated to serving employers and their health care partners by providing access to City of Hope’s exceptional cancer expertise.

A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona.

Pay Rate: $53.29 - $85.26 per hour

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

Your qualifications should include:

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

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, pleaseCLICK HERE.

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DATA SCIENTIST, REVENUE CYCLE - 10035202