Senior Cancer Registrar; Part-Time Consultant​/Domain Advisor

Overview

Contract

John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.

John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, Dev Ops and Sec Ops.

We are seeking a highly experienced Certified Tumor Registrar (CTR) to join our team as a part-time domain expert and process advisor
. This long-term collaboration aims to deepen our understanding of oncology registry workflows, data abstraction standards, and interoperability processes across population-based and hospital-based cancer data systems.

The role is ideal for a senior registrar who enjoys sharing expertise, advising on best practices, and helping non-registry professionals translate complex oncology data workflows into digital, interoperable systems.

Key Responsibilities

• Serve as a subject matter expert (SME) on cancer registry data standards, abstraction workflows, and reporting requirements.
• Provide structured walkthroughs of the registry lifecycle — from case finding, abstraction, coding, QA, to submission and feedback.
• Advise on the interpretation of data dictionaries, staging schemas, and coding logic used across U.S. registries.
• Help our team understand the daily workflow of registrars
  , including interaction with EHRs, pathology feeds, and state/federal reporting systems.
• Review data models, variable mappings, and potential automation use cases for consistency with registry standards.
• Participate in periodic review meetings (remote) to guide technical and product teams on oncology data conventions.
• Provide occasional feedback on UI/UX mockups, training materials, or registry-related data capture prototypes.

Qualifications & Experience

• 5–10+ years of hands-on experience in cancer registry operations
  , ideally including both facility-based and central registry settings.
• Deep familiarity with:
  • Cancer case abstraction, staging, and coding conventions.
  • Data validation and QA workflows.
  • NAACCR-style data items.
  • Common registry abstraction and validation tools used in the field.
  • Reporting workflows to state or national programs (e.g., population-based or accreditation-related systems).
• Understanding of AJCC, TNM, ICD-O, SSDI, and associated coding frameworks.
• Excellent communication skills and ability to translate complex registry processes for interdisciplinary teams.

Please include detailed answers to the following when applying:

• Experience
  
  Summary:
  
  Describe your current or most recent role as a cancer registrar. What types of cases and data systems did you work with (e.g., hospital-based, central registry, or research registry)?
• Registry Lifecycle Familiarity: Briefly outline the process you follow from case finding to submission, including your QA and validation steps.
• Technical Exposure: What registry abstraction or data validation tools have you used most extensively? (You may describe their function rather than naming proprietary systems.)
• Data Standards Expertise: Which coding manuals and data dictionaries do you use daily, and how do you stay current with annual updates?
• Teaching / Advisory
  
  Experience:
  
  Have you ever trained or mentored new registrars, or collaborated with technical teams on data or workflow projects?
• Availability & Collaboration Style: How many hours per week can you commit? What time zones or scheduling preferences should we con

Our…