Position Senior Reimbursement Analyst - Hybrid

Overview

Senior Reimbursement Analyst - Hybrid

This hybrid position offers a balanced schedule of three in-office days in Burlington, NC and two remote workdays per week, supporting both collaboration and flexibility.

At Labcorp, you are part of a journey to accelerate life-changing healthcare breakthroughs and improve the delivery of care for all. You’ll be inspired to discover more, develop new skills and pursue career-building opportunities as we help solve some of today’s biggest health challenges around the world. Together, let’s embrace possibilities and change lives!

Location:
Burlington, NC

• Analyze third-party denial trends and reimbursement issues to identify root causes and recommend corrective actions.
• Lead and support appeals initiatives, collaborating with Reimbursement Administrator, including identifying appeal opportunities, tracking outcomes, and collaborating with internal and external teams to improve success rates.
• Conduct detailed analyses of data related to existing or proposed revenue cycle projects, including payer performance and denial resolution.
• Develop and present findings through graphs, charts, written summaries, and presentations for leadership review.
• Collaborate with Revenue Cycle Operations to identify areas for improvement and support the implementation of strategic projects.
• Assist in the development and documentation of Standard Operating Procedures (SOPs) for denial management and appeals processes.
• Manage the implementation of process improvements across the revenue cycle, ensuring alignment with organizational goals.
• Provide timely and accurate updates to management on outstanding denial and appeal trends using defined systems and tracking mechanisms.
• Ensure timely follow-up on unresolved issues to minimize business risks and revenue loss.
• Stay current with payer guidelines, regulatory changes, and industry best practices related to reimbursement and appeals.
• Perform other duties as assigned.

• Associates degree with 6+ years of experience in healthcare billings OR 8 years experience with no degree
• Experience analyzing and manipulating large data sets in a healthcare revenue cycle setting
• Advanced proficiency in Microsoft Excel.
• Strong knowledge of payer contracts, medical terminology, commercial and government health insurance, billing guidelines, and appeals processes.
• Proven analytical and critical thinking skills.
• Experience with data tools such as SAS, Crystal Reports, Business Objects, or similar platforms preferred.
• Excellent communication and presentation skills.
• Ability to work independently and collaboratively in a fast-paced environment.

All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.

Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including:
Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO.

For more detailed information, please .

Labcorp Is Proud To Be An Equal Opportunity Employer. Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

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