Remote Rn Data Abstractor Jobs in Syracuse, NY (NOW HIRING)

As of May 31, 2026, the average hourly pay for remote rn data abstractor in Syracuse, NY is $41.74, according to ZipRecruiter salary data. Most workers in this role earn between $31.11 and $49.42 per hour, depending on experience, location, and employer.

A Remote RN Data Abstractor is a registered nurse who reviews and extracts clinical data from medical records for quality improvement, compliance, and research purposes. They work remotely, analyzing patient charts to ensure accuracy and adherence to healthcare guidelines. This role often requires experience with electronic health records (EHRs), attention to detail, and knowledge of medical coding and terminology. It is commonly used for quality reporting, accreditation, or clinical registry submissions.

To excel as a Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience with medical record review and data abstraction. Familiarity with electronic health records (EHRs), medical coding systems such as ICD-10, and clinical quality measures is highly beneficial. Strong attention to detail, time management, and effective written communication are crucial soft skills in this remote position. These competencies ensure accurate and efficient data collection, support compliance with regulatory standards, and enable seamless collaboration across distributed healthcare teams.

As a Remote RN Data Abstractor, your daily responsibilities generally include reviewing electronic health records and extracting key clinical data according to specific project or regulatory guidelines. You'll input this information into secure databases, ensure accuracy, and follow up to clarify any ambiguous or incomplete documentation with healthcare providers. While you may work independently, periodic virtual meetings and collaboration with clinical quality teams or project managers are common. Staying organized and up-to-date with changing guidelines is also a key part of the role, making attention to detail and self-motivation particularly important.