About The Position

The Senior Clinical Data Specialist delivers high-quality oncology data solutions to hospital partners nationwide. The role involves abstracting, coding, and reporting oncology data from unstructured medical records in accordance with state and national cancer registry standards, while supporting quality submissions and hospital partners’ Commission on Cancer (CoC) accreditation processes. The specialist stays current with regulatory and publicly reported data requirements and contributes to shared best practices, guidelines, and process improvements. The position also supports ongoing team learning and newer team members. Team members must commit to working a minimum of 30 hours per week.

Requirements

  • Active Oncology Data Specialist (ODS) certification.
  • 2–5 years of experience abstracting with an ODS certification.
  • Strong understanding of cancer program accreditation and other applicable standards.
  • Experience working with multiple patient medical record systems (EMRs) and clinical databases.
  • Strong analytical and critical-thinking skills for medical data analysis.
  • High attention to detail.
  • Technically savvy and open to learning new systems and technology.
  • Organized, adept at time management, and comfortable balancing multiple projects.
  • Commitment to data and information security and HIPAA compliance.
  • Legally able to work in the United States now or in the future without sponsorship.
  • Intermediate proficiency with Microsoft Office, including Excel and Outlook.

Responsibilities

  • Abstract, code, and report oncology data from unstructured medical records in alignment with state and national cancer registry standards.
  • Ensure quality data submissions while maintaining a high accuracy threshold.
  • Support hospital partners’ CoC accreditation process through strong cancer registry operations, policy development, and use of NCDB quality tools and standards.
  • Participate in educational opportunities and on-the-job learning through CEUs and dedicated learning time, supported by the internal Quality & Education team.
  • Stay current on regulatory and publicly reported data requirements specified by federal, state, payer, and other agencies.
  • Collaborate on team best practices, data dictionaries, abstraction guidelines, and process improvement initiatives.
  • Support newer team members, including recently certified ODS-Cs and Clinical Data Support Specialists, and contribute to a culture of continuous learning and collaboration.
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