About this role
Labcorp is a global leader in laboratory services, providing the insights and answers that help healthcare providers, patients, researchers, pharmaceutical companies and health systems make confident decisions and improve outcomes. Through our unparalleled science, data, technology and laboratory network, we advance diagnostics, accelerate innovation and help address some of the world's most important health challenges. As we shape the future of healthcare, we are leveraging advanced technologies, intelligent digital solutions and data-driven innovation across our operations to enhance how work gets done and deliver greater value to customers and patients. With our global scale and deep expertise, you'll have the opportunity to do meaningful work, grow your career and make a real impact on people's health around the world. Together, we're improving health and improving lives.
Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.
Labcorp is seeking a HYBRID Senior Reimbursement Analyst (III) to join our team!
Work Schedule: Monday - Friday; 8:00am-5:00pm EST
This hybrid position offers a balanced schedule of three in-office workdays at our Burlington or Durham, NC locations and two remote workdays per week, supporting both collaboration and flexibility.
The Senior Reimbursement Analyst is responsible for leading the identification, prioritization, and strategic development of appeal opportunities through advanced analytics and payer policy expertise. This role focuses on designing scalable appeal strategies, identifying systemic denial issues, and guiding appeal positioning to maximize reimbursement and reduce revenue leakage.
This position leverages large healthcare datasets, advanced analytics, and emerging technologies to identify high-value recovery opportunities and improve efficiency in reimbursement strategy execution.
The role partners closely with Revenue Cycle Operations, Payor Solutions, and Reimbursement leadership to implement scalable solutions and address root causes of
Responsibilities:
Appeals Strategy & Optimization
Identify and prioritize high-value, scalable appeal opportunities across commercial and government payersDevelop and standardize appeal strategies and frameworks based on payer policy, denial trends, and financial impactDraft complex or exemplar appeals to establish best practices and reusable templatesPartner with operational teams to enable execution of appeals at scale, rather than performing routine claim-level submissions Data Mining & Advanced Analytics
Analyze large healthcare datasets (claims, remittance, denial, and clinical data) to identify trends, root causes, and recovery opportunities Design and execute advanced data mining techniques to surface actionable insights and quantify financial impactTranslate data insights into enterprise-level appeal strategies and recovery initiatives, not individual claim resolution Payer Policy & Reimbursement Expertise
Interpret payer policies, LCD/NCDs, and medical necessity criteria to assess appeal viabilityApply knowledge of billing guidelines, coding (CPT/HCPCS), and reimbursement methodologiesIdentify policy misalignment and develop targeted appeal strategies or escalation approaches Cross-Functional Collaboration
Partner with Revenue Cycle, Denial Operations, and Payor Solutions teams to address systemic denial issuesProvide subject matter expertise and guidance on appeal strategy and policy interpretationSupport process improvement initiatives aimed at reducing denials and optimizing reimbursement Minimum Qualifications:
Bachelor's degree with 7+ years of experience in healthcare revenue cycle, reimbursement, or denial management OR Associate degree with 9 years of experience in healthcare revenue cycle, reimbursement, or denial management OR HS diploma or GED with 11 years of experience in healthcare revenue cycle, reimbursement, or denial management Preferred Qualifications:
7+ years of experience in healthcare revenue cycle, reimbursement, or denial management5+ years of hands-on experience analyzing healthcare datasets, including claims, denials, and remittance data, with demonstrated ability to identify trends and actionable insightAdvanced proficiency in Microsoft Excel, including large dataset manipulation and data analysisDirect experience managing appeals and denials across commercial and/or government payers, including tracking outcomes and driving resolution strategiesDemonstrated experience drafting appeal letters with supporting clinical and policy rationaleStrong knowledge of medical terminology and healthcare billing/coding conceptsProven ability to interpret payer policy language and translate policy criteria into actionable appeal strategies or reimbursement opportunitiesExperience with laboratory billing, diagnostics, or molecular/genetic testingClinical or coding credentials (e.g., RN, LPN, MT/MLS, CPC, CCS)Experience with policy research or reimbursement optimizationAdvanced Microsoft Excel (required)SQL or similar data query tools (preferred)Data visualization tools (Tableau, Power BI) (preferred)Analytical tools (SAS) (preferred) Application Window Closes: 8-1-26
Benefits: 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. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. 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 click here.
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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