Remote AI Engineer - Revenue Cycle Data Intelligence

Cedars-Sinai

Colorado Springs (CO)

Remote

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Cedars-Sinai in Colorado Springs seeks a healthcare analytics specialist to build, validate, and operationalize AI and analytics solutions in a secure hospital setting. You will support revenue cycle analytics for hospital and professional billing, accelerating predictive analytics, NLP, automation, and self-service intelligence to improve decision speed.

You will lead reporting analysis, triage data requests, and collaborate with vendors and the EIS team to deliver quantitative insights using

Qualifications

  • Three (3) plus years' experience with SQL and a range of query tools (Python, R, Oracle, MS SQL, PowerBI).
  • One (1) plus years of experience with hospital and professional billing modules in Epic.
  • Developing Epic Clarity reports (HB and/or PB) and hands-on reporting analysis.
  • Familiarity with databases used in patient care and data warehousing.
  • Experience analyzing Clarity report requests, Reporting Workbench, and Radar builds.

Responsibilities

  • Build, validate, and operationalize AI and analytics solutions in a healthcare environment.
  • Support revenue cycle analytics for hospital and professional billing.
  • Accelerate delivery of predictive analytics, NLP, automation, and self-service insights.
  • Lead and participate in reporting analysis using Clarity, Workbench, and Radar.
  • Collaborate with vendors and the EIS team to deliver data-driven solutions.

Skills

SQL
Python
R
Oracle
PowerBI
Epic Clarity HB/PB
Reporting Workbench
Radar

Education

Bachelor's degree in Computer Science or related field
Epic HB/PB Certification preferred
SQL Server certification preferred

Tools

Epic
Reporting Workbench
Radar
Clarity reports

Job description

Cedars-Sinai in Colorado Springs seeks a healthcare analytics specialist to build, validate, and operationalize AI and analytics solutions in a secure hospital setting. You will support revenue cycle analytics for hospital and professional billing, accelerating predictive analytics, NLP, automation, and self-service intelligence to improve decision speed.

You will lead reporting analysis, triage data requests, and collaborate with vendors and the EIS team to deliver quantitative insights using

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