Senior Clinical Data Specialist, Oncology

This is a fully remote position, open to applicants in United States.

📋 Description

• Abstract, code, and report oncology data from unstructured medical records in accordance with state and national cancer registry standards.

• Ensure the quality submission of all data while upholding a high accuracy threshold.

• Assist hospital partners with their CoC Accreditation process through cancer registry operations, policy development, and the utilization of NCDB quality tools and standards.

• Engage in educational opportunities and on-the-job training through CEUs and designated learning time.

• Remain informed about regulatory and publicly reported data requirements from federal, state, payers, and other relevant agencies.

• Collaborate on team best practices, develop data dictionaries, establish abstraction guidelines, and initiate process improvement efforts.

• Mentor newer team members, including those recently certified as ODS-Cs and Clinical Data Support Specialists.

• Provide high-quality oncology data solutions to hospital partners across the nation.

⛳️ Requirements

• Active Oncology Data Specialist (ODS) Certification.

• Over 5 years of experience in abstracting with an ODS certification.

• Comprehensive understanding of cancer program accreditation and relevant standards.

• Experience with a variety of patient medical record systems (EMRs) and clinical databases.

• Strong analytical and critical thinking abilities for medical data analysis.

• Exceptional attention to detail.

• Technologically savvy and eager to learn new systems and technologies.

• Well-organized and proficient in time management; able to handle multiple projects simultaneously.

• Commitment to data security and compliance with HIPAA regulations.

• Must be legally authorized to work in the United States, now or in the future, without sponsorship.

• Intermediate proficiency in MS Office, including Microsoft Excel and Outlook.

🏝️ Benefits

• Educational opportunities and on-the-job learning through CEUs.

• Dedicated learning time.

• Support from the internal Quality & Education team.

• Minimum commitment of 30 hours per week.