AI Engineer (Rev Cycle Data Intelligence Analyst) - Remote
Cedars-Sinai Medical Center · United States · US
Health Informatics
Remote
physician
Demand85
Career growth80
Healthcare fit74
Remote potential95
5-year outlook
Likely competitive mid-to-senior health-system analytics/AI compensation with strong benefits, though exact pay is not stated. Growth should be solid as health systems expand AI and revenue-cycle automation, but pay may trail pure tech AI engineering roles.
Clinical license
Not required
Applicant reach
moderate
Seniority
mid
Employment type
full-time
Date found
2026-10-25
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- physician
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying for clinicians with Epic, revenue-cycle, informatics, or analytics/BI experience who want health-system AI and data work. Less suitable for clinicians without a data, reporting, or health IT background.
Who should apply
Nurses, doctors, allied health professionals, and healthcare graduates with Epic exposure, revenue-cycle knowledge, dashboard/reporting experience, or AI/data analytics projects. Best for clinicians already moving toward informatics or health-system analytics.
CV angle
Frame clinical workflow knowledge as domain expertise for revenue-cycle analytics and AI adoption. Quantify Epic use, reporting/dashboard builds, process improvement, stakeholder requirements, data quality work, and any predictive analytics, NLP, automation, or anomaly-detection projects without overstating engineering experience.
Skills to highlight
- Data analysis and reporting
- Business requirements gathering
- Dashboards and BI tools
- Predictive analytics, NLP, or automation projects
- Epic and healthcare IT workflows
- Revenue cycle and hospital/professional billing context
- Stakeholder management and process mapping
- Data quality and change control
Role summary
Remote health-system data/AI role supporting revenue-cycle analytics by gathering requirements, building reports and dashboards, and helping operationalize predictive analytics, NLP, automation, and anomaly detection in a secure Epic environment.
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