Q-Centrix is hiring a
Oncology Data Specialist in Worldwide

Summary

Join Q-Centrix, a leading healthcare information solutions provider as a remote Oncology Data Abstractor. Deliver quality solutions to hospital partners, work with multiple patient medical record systems, and enjoy competitive pay, comprehensive benefits, and flexible schedule in a 100% remote environment.

Requirements

• Must be the proud recipient of a CTR (ODS-C) Certification
• Must have at least 2+ years of experience abstracting with an ODS certification
• Direct data abstraction experience in the Cancer Registry
• Exposure to patient medical record systems (EMRs) and clinical databases
• Intermediate proficiency with MS Office (Microsoft Excel)

Responsibilities

• Deliver quality solutions to hospital partners across the country
• Bring your specialized knowledge and patient storytelling skills to our hospital partners through categorizing, coding, summarizing, interpreting, and mining registry/case information from nuanced, unstructured patient medical records
• Perform data collection (abstracting) and reporting on eligible cancer cases under current state mandates and national accrediting agencies

Preferred Qualifications

Experience working at or with a CoC Accredited facility

Benefits

• W2 employment (not contract!) with opportunities to create a flexible work schedule to tailor your around your needs in a 100% remote environment (no travel or onsite work required!)
• Competitive pay, including growth and advancement opportunities!
• Paid onboarding while awaiting facility access
• Comprehensive benefits including medical, dental, vision, 401(k) with match, generous PTO, parental leave, employer-paid short- and long-term disability, employee wellness resources, paid education time and CEUs, and more
• Opportunities to learn new skills through our in-house quality and education department
• Exposure to the best cancer registry software on the market
• Positive and collaborative relationships with customers, colleagues, and leadership
• Consistent and ongoing workload