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Revenue Integrity Analyst II
Job in
New York, New York County, New York, 10001, USA
Listed on 2026-10-16
Listing for:
Memorial Sloan-Kettering
Full Time
position Listed on 2026-10-16
Job specializations:
-
Healthcare
Medical Billing and Coding, Healthcare Compliance, Healthcare Administration, Medical Records
Job Description & How to Apply Below
About Us:
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it.
MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
Exciting Opportunity at MSK:
Revenue Integrity Analyst II At Memorial Sloan Kettering (MSK), our Revenue Integrity team plays a critical role in ensuring accurate coding, charge capture, compliance, and financial integrity, directly supporting MSK's mission to end cancer for life. The Revenue Integrity Analyst II serves as a coding and revenue cycle subject matter expert, partnering with clinical, coding, and operational teams to optimize charging workflows, maintain regulatory compliance, and strengthen reimbursement outcomes across the organization.
Role Overview Serve as a subject matter expert on revenue integrity, charge capture, diagnostic coding, and billing compliance. Perform comprehensive reviews of Charge Description Master (CDM) records to ensure coding accuracy, compliance, and ongoing integrity. Investigate coding and charging discrepancies, identify root causes, and implement standardized corrective actions. Manage and resolve Revenue Integrity tickets related to coding edits, charge capture issues, CDM maintenance, and billing discrepancies while maintaining clear audit trails.
Partner with Diagnostic Coding teams, including Radiology and Pathology coders, to ensure accurate application of ICD-10-CM, ICD-10-PCS, CPT, and HCPCS coding guidelines. Evaluate Epic work queues, coding edits, and charge review reports to identify reimbursement risks and revenue leakage opportunities. Collaborate with Revenue Operations, HIM, Billing, and Clinical departments on quarterly and annual coding updates and regulatory changes. Educate clinical departments and operational stakeholders on coding requirements, charge capture accuracy, documentation standards, and compliant billing practices.
Present coding audit findings, revenue integrity trends, and process improvement recommendations to leadership and governance committees. Key Qualifications Bachelor's degree or equivalent combination of education and relevant healthcare revenue cycle experience. Strong knowledge of ICD-10-CM, ICD-10-PCS, CPT, HCPCS, charge capture processes, and billing compliance requirements especially related to LCD NCD regulations. Professional coding certification required or strongly preferred, including CPC, COC, CCS, RHIA, or RHIT.
Experience collaborating with coding, HIM, revenue cycle, finance, and clinical teams within a complex healthcare environment. Demonstrated experience analyzing coding edits, denials, charge reconciliation issues, and reimbursement impacts. Epic experience and familiarity with revenue cycle applications, coding work queues, and charge review tools preferred. Core Skills Advanced analytical skills with the ability to identify coding trends, documentation gaps, workflow deficiencies, and compliance risks.
Strong understanding of healthcare reimbursement methodologies, coding regulations, and revenue cycle operations. Ability to communicate complex coding and revenue integrity concepts clearly to clinical, operational, and leadership audiences. Proven ability to conduct coding education, training, and audit feedback sessions that…
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