Patient Financial Services Leader

Official role description

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Patient Collections and Patient Financial Services leaders to evaluate AI tools designed to improve self-pay revenue recovery and patient financial engagement. Your expertise in self-pay collections, payment plan administration, and patient financial advocacy will directly inform AI systems that optimise patient payment experiences while maximising revenue recovery.

Responsibilities • Lead patient collections and self-pay operations including early-out collections, bad debt management, and patient payment plan administration. • Evaluate AI-generated patient financial communication drafts, payment plan recommendations, and self-pay resolution strategies for accuracy and compliance. • Develop and implement self-pay collection strategies across the revenue cycle, including pre-service, point-of-service, and post-service collections. • Manage patient payment plan enrollment, monitoring, and compliance processes. • Coordinate with financial counselling, billing, and bad debt recovery teams to optimise self-pay revenue capture. • Monitor self-pay KPIs including self-pay collection rates, payment plan conversion rates, bad debt write-off rates, and patient satisfaction scores. • Ensure compliance with FDCPA, HIPAA, state collections laws, and internal patient financial assistance policies. • Oversee relationships with collection agencies and early-out vendors as applicable. • Annotate AI outputs and provide structured feedback to support AI training datasets.

Requirements • 5+ years of experience in patient collections, self-pay revenue cycle, or patient financial services, with at least 2 years in a leadership role. • Deep knowledge of self-pay collection workflows, FDCPA compliance, and patient financial engagement best practices. • Experience managing early-out and bad debt collection programs, including vendor oversight. • Familiarity with propensity-to-pay tools and patient payment technology platforms. • Proficiency with EHR systems and patient collections/billing platforms. • Exceptional written and verbal English communication skills. • High attention to detail with the ability to evaluate collections strategies and identify issues in AI-generated patient communication content.

Preferred Qualifications • CRCR, CHAM, or similar revenue cycle certification. • Experience with digital patient payment platforms and text/email-based collections outreach. • Background in hospital, health system, or physician group patient financial services. • Familiarity with AI tools and comfort evaluating AI-generated patient financial communication content. • Experience implementing propensity-to-pay analytics to prioritise collection efforts.

Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • Gain exposure to cutting-edge AI workflows in patient financial services and the revenue cycle. • Opportunity to work on high-impact projects shaping the future of healthcare AI.