Data Scientist, Revenue Cycle

City of Hope; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

City of Hope is seeking a Data Scientist, Revenue Cycle to support revenue cycle optimization in a remote environment. The role involves analyzing large datasets and developing predictive models while collaborating with cross-functional teams to enhance financial performance and patient experience.

The ideal candidate will possess a Master's or Bachelor's degree with relevant experience and have proficiency in data analytics, statistical modeling, and programming languages such as Python and SQL.

Qualifications

• Master's or Bachelor's degree with relevant experience preferred.
• Proficient in programming languages such as Python, R, Java, or C/C++.
• Experience with SQL and relational databases essential.

Responsibilities

• Analyze datasets to identify revenue leakage and optimization opportunities.
• Develop predictive models to improve cash collections and reimbursement outcomes.
• Build dashboards to monitor performance indicators and translate data findings into insights.

Skills

Data analytics

Statistical modeling

Machine learning techniques

Python

R

Java

SQL

Education

Master's degree with 0+ years of experience

Bachelor's degree with 3+ years of relevant experience

Tools

AWS

Azure

Job description

To support revenue cycle optimization in a remote environment, the Data Scientist, Revenue Cycle will analyze large datasets, develop predictive models, and collaborate with cross-functional teams to enhance financial performance and patient experience.

Key responsibilities

• Partner with revenue cycle and operational leaders to drive data-informed decision making across billing, coding, and collections
• Analyze datasets to identify revenue leakage and optimization opportunities, and develop predictive models to improve cash collections and reimbursement outcomes
• Build dashboards and visualizations to monitor key performance indicators and translate complex data findings into actionable insights for stakeholders

Required 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++, and strong experience with SQL and relational databases
• Familiarity with healthcare revenue cycle data, EHR systems, claims, billing, and payer workflows
• Experience with cloud platforms such as AWS or Azure and modern data science tools preferred