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. It also supports hospital partners’ Commission on Cancer (CoC) accreditation work and contributes to consistent, quality healthcare through collaboration, ongoing learning, and process improvement. Team members must commit to working a minimum of 30 hours per week.

Requirements

  • Active Oncology Data Specialist (ODS) certification.
  • At least 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.
  • Technical aptitude and openness to learning new systems and technology.
  • Organization and time-management skills, including the ability to balance 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 submission of all data while maintaining a high accuracy threshold.
  • Support hospital partners’ CoC accreditation process through 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, with support from 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 learning and collaboration.

Benefits

  • Dedicated learning time and support from the internal Quality & Education team.
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