Remote AI Engineer: Revenue Cycle Data Intelligence

Cedars-Sinai; Central City (CO); Remote; USD 110.000 - 160.000; Vollzeit

Zusammenfassung

Cedars-Sinai is seeking an Ai Engineer (Rev Cycle Data Intelligence Analyst) to translate complex business needs into data-driven analytics in a healthcare setting. You will design reports, data structures, and dashboards to support hospital and professional billing analytics, including NLP and automation initiatives.

The role involves collaborating with end-users, vendors, and EIS teams to ensure high-quality data solutions while advancing population health and patient care insights.

Qualifikationen

• Three (3)+ years of experience with SQL and related query tools.
• Experience with hospital billing modules in Epic.
• Epic Clarity (HB and PB) reports preferred.
• Hands-on reporting analysis and custom report development.
• Familiarity with databases used in patient care and data warehousing.
• Experience analyzing Clarity report requests, Reporting Workbench and Radar build requests.
• Demonstrated understanding of healthcare applications and needs of patient care providers.
• Proficiency with Reporting Workbench and Radar build concepts.

Aufgaben

• Build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.
• Support revenue cycle analytics for hospital and professional billing needs.
• Accelerate predictive analytics with NLP, automation, and self-service intelligence.
• Lead requirements analysis, process mapping, and data governance discussions.
• Collaborate with vendors and EIS team on testing and QA initiatives.

Ausbildung

Bachelor’s degree in Computer Science or related field

Epic Certification preferred

SQL Server certification preferred

Tools

SQL

Python

R

Oracle

Microsoft SQL

PowerBI

Epic Clarity HB/PB

Reporting Workbench

Radar

Jobbeschreibung

Cedars-Sinai is seeking an Ai Engineer (Rev Cycle Data Intelligence Analyst) to translate complex business needs into data-driven analytics in a healthcare setting. You will design reports, data structures, and dashboards to support hospital and professional billing analytics, including NLP and automation initiatives.

The role involves collaborating with end-users, vendors, and EIS teams to ensure high-quality data solutions while advancing population health and patient care insights.