AI Engineer (Rev Cycle Data Intelligence Analyst) - Remote

Cedars-Sinai•Los Angeles, CA

2h•$98,000 - $142,000•Remote

About The Position

The AI Engineer (Rev Cycle Data Intelligence Analyst) works with end-user requests to define moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements for enterprise data intelligence projects. The role creates specifications for reports and analyses based on business and clinical needs and available or required data elements, and produces datasets, reports, ad hoc analyses, and dashboards. The position provides specialized expertise to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment. It supports revenue cycle customers with hospital and professional billing analytics and helps accelerate predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed. The role analyzes and develops reports, triages data requests, interprets business needs, and applies healthcare knowledge and critical thinking to recommend solutions. It conducts quantitative and qualitative analysis and reports patterns, insights, and trends to decision-makers, working with team members, vendors, and other EIS contacts. The position may participate in operational workflow re-engineering and leads requirements and process analysis for complex projects, including process mapping, elicitation, stakeholder analysis, and specification gathering. It serves as a primary contact for vendor support on larger projects and complex issues, leads quality assurance and testing initiatives, and contributes to strategy discussions by identifying options and their pros and cons.

Requirements

Three or more years of experience with SQL and demonstrated ability with query tools such as Python, R, Oracle, Microsoft SQL, or Power BI.
One or more years of experience with hospital billing and professional billing modules in Epic.
Hands-on experience performing reporting analysis and developing custom reports.
Familiarity with databases used in patient care, hospital administrative applications, and data warehousing technology.
Experience analyzing basic to moderately sophisticated Clarity report requests and Reporting Workbench and Radar build requests.
Demonstrated understanding of healthcare applications and the needs and priorities of patient care providers.
Technical proficiency in Reporting Workbench and Radar build, including the ability to teach sophisticated build concepts.
Bachelor’s degree in Computer Science or a related field.

Nice To Haves

Developing Epic Clarity (HB and/or PB) reports.
Coursework in a quantitative field.
Epic (HB and/or PB) certification.
SQL Server certification.

Responsibilities

Work with end users to define business requirements, data definitions, business rules, and data quality requirements for enterprise data intelligence projects.
Create specifications for reports and analyses based on business and clinical needs and required or available data elements.
Produce datasets, reports, ad hoc analyses, dashboards, and other analytic outputs.
Build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.
Support revenue cycle customers with hospital and professional billing analytics.
Help accelerate predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence.
Triage data requests, clarify business needs, and apply healthcare knowledge and critical thinking to recommend solutions.
Conduct sophisticated report and data analysis and communicate quantitative and qualitative patterns, insights, and trends to decision-makers.
Participate in operational workflow re-engineering with end users and business owners as needed.
Lead process and requirements analysis for complex projects, including process mapping, requirements elicitation, stakeholder analysis, and specification gathering.
Provide recommendations using current and projected data.
Serve as the primary vendor contact for support and assistance on larger projects and increasingly complex or critical issues.
Provide guidance and leadership on quality assurance and testing initiatives, lead complex integrated testing, and manage testing projects as needed.
Contribute to strategy discussions by identifying options and associated pros and cons.