Medical Data Analyst (Medical Coder) (Remote)

Feel the Pride of a Mission-Driven Career

Medical Data Analyst – Central Billing Office (Remote)

Join the patient-inspired team at New York-Presbyterian and bring new meaning to your career. See how the revenue cycle team in our Central Billing Office plays an active role in world-class care and caring. Thrive as a valued member of the team and feel the pride of mission-driven achievement. Here, putting patients first is our mission, which means we stay committed to excellence in all aspects of our organization, including maintaining the accuracy and integrity of our medical records. And as we look to the promising future ahead, we seek talented professionals like you to help drive our financial growth while building on our reputation for excellence as one of the nation’s top-ranked hospitals.

Utilize your outstanding analytical skills and keen attention to detail to take on this important high performance role, responsible for performing varied and complex diagnostic and procedural coding for patient records. In this role, you will support the Central Billing Office with various crucial functions like ensuring the complete, accurate, and timely coding and APC assignment alongside a required daily productivity. This position plays a key role in the efficient and effective financial operations of the Medical Group and helps make a life-changing difference.

Preferred Criteria

• College degree
• CPC
• EPIC
• Understanding denials process
• Microsoft office
• Excel (basic)
• Encoder

Required Criteria

• High School Diploma
• 3-5 years demonstrated medical coding experience
• Demonstrated knowledge of CPT, ICD-10CM, and HCPCS coding
• Proficient computer skills, including experience with clinical information systems for accessing health information in an electronic environment
• Professional interpersonal and communication skills throughout the Organization
• Reviewing and extracting appropriate CPT, ICD-10CM, and/or HCPCS based off of documentation
• Ability to work in a Team environment and independently