Remote AI Engineer — Revenue Cycle Analytics

Cedars-Sinai; Atlanta (GA); Remote; USD 90,000 - 150,000; Full time

Job summary

Cedars-Sinai in Atlanta, GA seeks an Ai Engineer (Rev Cycle Data Intelligence Analyst) to capture complex business requirements and translate them into robust data solutions. You will design reports, datasets, and dashboards to support hospital and professional billing analytics in a secure healthcare setting.

Responsibilities include building AI-enabled analytics, validating data quality, and collaborating with end users and vendors to deliver insights that accelerate decision-making across the

Qualifications

• Three or more years of experience with SQL and data tooling.
• Experience with hospital or professional billing data is highly desired.
• Strong understanding of data models, data quality, and reporting.
• Familiarity with Epic Clarity reports and BI dashboards.
• Ability to translate business needs into technical specifications.

Responsibilities

• Gather and translate end-user requirements for data and analytics solutions.
• Create data sets, reports, dashboards, and ad-hoc analyses.
• Perform advanced data analysis to identify patterns, trends, and insights.
• Collaborate with vendors and EIS team to deliver scalable analytics.
• Lead testing and QA for analytics deliverables and reports.
• Assist in re-engineering workflows to improve data access and efficiency.

Skills

Analytical thinking

Collaborative

Education

Bachelor’s degree in CS or related field

Epic HB/PB Certification

SQL Server Certification

Tools

SQL

Python

R

PowerBI

Epic

Clarity

Radar

Reporting Workbench

Job description

Cedars-Sinai in Atlanta, GA seeks an Ai Engineer (Rev Cycle Data Intelligence Analyst) to capture complex business requirements and translate them into robust data solutions. You will design reports, datasets, and dashboards to support hospital and professional billing analytics in a secure healthcare setting.

Responsibilities include building AI-enabled analytics, validating data quality, and collaborating with end users and vendors to deliver insights that accelerate decision-making across the