Revenue Cycle Leader - AI Trainer

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Revenue-cycle analytics / decision-support / RCM reporting leader Type: Contract Compensation: $100/hour Location: Remote

Role Responsibilities

• Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations .
• Evaluate AI-generated revenue cycle analytics outputs , KPI dashboards, and financial modeling recommendations for accuracy and completeness.
• Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R , and collections performance.
• Build and interpret dashboards, scorecards, and trend analyses to support operational and executive decision-making.
• Conduct root cause analyses of revenue cycle performance variances and develop data-driven improvement recommendations.
• Collaborate with finance, IT , and operational revenue cycle teams to align analytics infrastructure with strategic priorities.

Qualifications

Must-Have

• 5+ years of experience in revenue cycle analytics, RCM reporting , or healthcare financial decision-support, with at least 2 years in a leadership role.
• Deep knowledge of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, and collections domains.
• Proficiency with healthcare analytics platforms, BI tools ( Tableau , Power BI , or equivalent), and SQL-based data analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems .
• Strong financial modeling and data interpretation skills with the ability to translate complex data into actionable recommendations.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify data quality issues and analytical errors in AI-generated outputs .

Preferred

• HFMA CRCR , CHFP , or healthcare analytics certification.
• Experience with predictive analytics, revenue cycle forecasting, and net revenue modeling.
• Background in health system, large physician enterprise, or RCM outsourcing analytics operations .
• Familiarity with AI tools and comfort evaluating AI-generated analytics content .
• Experience implementing enterprise-wide revenue cycle analytics infrastructure or BI platform migrations .

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

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PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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Originally posted on Himalayas