Savista

Savista

Job Posting Title Now Accepting Applications: Virtual Job Fair | July 20 - 24

Remote - USA · Part-time

Sponsorship not specified$20k-$24kDetected 12 days ago
SOAREHR/EMRPatient CareResearchCollaboration

About the role

  • Apply to Be Considered for Our Virtual Hiring Event (July 20-24) Submit your application today for the opportunity to connect with our team and take the next step in your oncology registry career.
  • Advance Your Oncology Registry Career with Savista If you're an experienced Oncology Data Specialist looking for a fully remote opportunity with a team that values your expertise, we'd love to connect with you.

Responsibilities

  • Perform high-quality oncology registry abstraction in accordance with industry standards.
  • Support CoC-accredited and SEER-reporting facilities.
  • Contribute to data that drives quality improvement, research, and better patient outcomes.

Requirements

  • Current ODS-C certification (required)
  • We're seeking experienced professionals who have:
  • At least two years of recent oncology registry abstracting experience
  • Proficiency with oncology registry software and electronic medical records (EMRs)
  • Exceptional attention to detail and the ability to work independently in a remote environment
  • Why Join Savista?
  • Professional Development
  • Company-paid NCRA CEUs and continuing education
  • NCRA dues reimbursement
  • Access to a dedicated Savista Registry Educator
  • Opportunities for career advancement

Nice to have

  • Experience abstracting cases for CoC-accredited and/or SEER-reporting facilities preferred

Compensation

  • Compensation & Flexibility

Benefits

  • Flexible scheduling options
  • Medical, dental, and vision coverage
  • 100% company-paid short-term disability and life insurance
  • Wellness programs and Employee Assistance Program

Company info

  • We are hiring multiple Remote Oncology Data Specialist (ODS-C) Abstractors.
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This listing is sourced directly from Savista's careers page and normalized into a canonical job model.