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AI Engineer (Rev Cycle Data Intelligence Analyst) - Remote

Cedars-Sinai

Remote · USJobSeen 1w agoSeen in employer's feed 3 days ago

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At a glance

Compensation
No compensation found
Location
Remote · US
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The AI Engineer (Rev Cycle Data Intelligence Analyst) supports revenue cycle analytics for hospital and professional billing. The role translates business needs into data requirements and report specifications, produces datasets, reports, and dashboards, and analyzes data to inform decisions. It also builds and operationalizes AI and analytics solutions in a secure healthcare environment, supports testing and process improvement, and works with end users, team members, and vendors.

Skills & qualifications

RequiredNice to have

Skills

SQLQuery ToolsPythonROracleMicrosoft SQLPower BIEpic Billing ModulesEpic Clarity ReportingReporting AnalysisCustom Report DevelopmentHealthcare DatabasesHospital Administrative ApplicationsData WarehousingClarity Report AnalysisReporting WorkbenchRadar BuildHealthcare ApplicationsPatient Care Provider Needs

Qualifications

3+ Years SQL Experience1+ Year Epic Billing ExperienceBachelor's in Computer Science or Related FieldQuantitative Field CourseworkEpic HB or PB CertificationSQL Server Certification

Full job description

Job Description

Grow your career at Cedars-Sinai!

Building on a legacy of innovation, Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.

The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “CHIME Digital Health Most Wired“ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

Why work here?

Beyond an outstanding benefit package and competitive salaries, we take pride in hiring the best, most committed employees. Our staff reflects the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a multifaceted, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

What you will be doing:

The Ai Engineer (Rev Cycle Data Intelligence Analyst) works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements support of enterprise data intelligence projects. Creates specifications for reports and analysis based on business/clinical needs and data elements required or available. Produces data sets, reports, ad-hoc requests, dashboards, etc. Conducts data analysis in support of a variety of analytic solutions.

  • Provide the specialized expertise needed to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.

  • This role will support the revenue cycle customers in the health system on hospital and professional billing related analytics needs.

  • Accelerate delivery of predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed across the organization.

  • Demonstrates a strong understanding of report analysis and development. Triages intake of data requests and seeks an understanding of business needs.

  • Applies knowledge of healthcare and critical thinking skills in the analysis of business request and makes recommendations for solution/s to solve challenges.

  • Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts; provides quantitative and qualitative data analysis and reporting of patterns, insights, and trends to decision-makers.

  • Participates in re-engineering, as needed, operational work-flow processes with end-users/business owners.

  • Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.

  • Leads and evaluates process and requirements analysis, including process mapping though current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects. In addition, using current and projected data, provides recommendations.

  • Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas. Handles relationship with external vendors.

  • Independently provides guidance and leadership on quality assurance and testing initiatives. Demonstrates ability to lead team through complex integrated testing processes. Manages testing projects as necessary.

  • Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.

*Approved Remote States: Arizona, California, Colorado, Florida, Georgia, Minnesota, Nevada, Oregon, Texas *****

Qualifications

Experience Requirements:

Three (3) plus years’ experience with SQL, plus demonstrated ability with a range of query tools such as Python, R, Oracle, Microsoft SQL, PowerBI, etc.

One (1) plus years of experience with hospital billing and professional billing modules in Epic.

Developing Epic Clarity (HB and/or PB) reports preferred.

Hands on experience performing reporting analysis and developing custom reports.

Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology.

Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.

Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers.

Technical proficiency in Reporting Workbench and Radar build. Able to teach sophisticated Reporting Workbench and Radar build concepts.

Educational Requirements:

Bachelor’s degree in Computer Science or related field required. (coursework in quantitative field, preferred).

Epic (HB and/or PB) Certification preferred.

SQL Server certification preferred.

#LI-Remote

#LI-JM1

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.

How this job compares

Set against the 7,011 open AI Engineer jobs on Olive Jobs, counted November 3, 2026.

Pay
  • This postingNot listed
  • California median$156–257K/yr1,109 salary ranges
  • US median$30–77/hr136 hourly ranges
Openings
Olive Jobs lists 1,373 open AI Engineer jobs in California and 7,011 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 3 years of experience — less than three in four AI Engineer postings that state a minimum ask for (median 5 years, across 5,950 postings).
Education
This posting asks for a bachelor's degree; 2,909 of the 7,011 open AI Engineer jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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