Remote AI Engineer - Rev Cycle Data Intelligence Analyst

Cedars-Sinai; Tallahassee (FL); Hybrid; USD 110.000 - 160.000; Vollzeit

Zusammenfassung

Cedars-Sinai seeks an Ai Engineer (Rev Cycle Data Intelligence Analyst) to translate end-user needs into detailed data requirements and build reports, dashboards, and data sets for enterprise analytics. You will support hospital and professional billing analytics, applying AI/ML techniques to reduce manual effort and surface risks earlier.

The role emphasizes collaboration with the EIS team and external vendors, with a focus on data quality, security, and governance within a healthcare

Qualifikationen

• Three or more years of SQL experience; strong data definitions and business rules
• Experience with Python and R for data analysis and data wrangling
• Hands-on experience in hospital billing analytics, Epic Clarity, Reporting Workbench and Radar
• Knowledge of data warehousing concepts and healthcare data standards

Aufgaben

• Detail moderately to sophisticated business requirements and data definitions
• Create reports, dashboards, and ad-hoc analyses for revenue cycle analytics
• Lead testing and validation of AI/analytics solutions in a healthcare setting
• Collaborate with vendors and EIS team to ensure data quality and governance

Kenntnisse

SQL

Python

R

PowerBI

Reporting Workbench

Radar

Ausbildung

Bachelor's degree in Computer Science or related field

Epic Certification preferred

SQL Server certification preferred

Tools

Epic Clarity HB/PB

Reporting Workbench

Radar

SQL Server

Jobbeschreibung

Cedars-Sinai seeks an Ai Engineer (Rev Cycle Data Intelligence Analyst) to translate end-user needs into detailed data requirements and build reports, dashboards, and data sets for enterprise analytics. You will support hospital and professional billing analytics, applying AI/ML techniques to reduce manual effort and surface risks earlier.

The role emphasizes collaboration with the EIS team and external vendors, with a focus on data quality, security, and governance within a healthcare