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Remote Cancer Data Management Jobs (NOW HIRING)

John Snow Labs

... remote) to guide technical and product teams on oncology data conventions. * Provide occasional ... Cancer case abstraction, staging, and coding conventions. * Data validation and QA workflows.

Dana-Farber Cancer Institute

... Cancer Institute seeks a full-time Research Data Specialist to help with data entry, data quality ... The Research Data Specialist will work under the supervision of the Center's Senior Manager for ...

Sparks Group

Data Management Analyst

Herndon, VA · Remote

As the Data Management Analyst, you will be responsible for assisting in maintaining and updating ... is Fully Remote. We offer several comprehensive benefits package including health and life ...

ImmunityBio, Inc.

Clinical Data Manager

We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological ... Data Management Plan * CRF Completion Guidelines * Coding Guidelines * Annotated CRFs * Edit Check ...

Aptive

Oncology Data Specialist

... cancers are reported. Quality Assurance and Data Integrity * Provide the Contract Manager with a list of completed cases. * Submit periodic reports to the Oncology Data Lead using VA-approved ...

ImmunityBio

Clinical Data Manager

Culver City, CA · On-site +1

We envision a day when we no longer fear cancer, but can conquer it, thanks to the biological ... Data Management Plan * CRF Completion Guidelines * Coding Guidelines * Annotated CRFs * Edit Check ...

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$31K

$97.1K

$172K

How much do remote cancer data management jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote cancer data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Cancer Data Management vs Remote Oncology Data Entry?

AspectRemote Cancer Data ManagementRemote Oncology Data Entry
Primary RoleOversees data collection, analysis, and reporting for cancer research and treatment programsInputs and verifies patient data into databases for oncology studies
Required SkillsData analysis, understanding of cancer terminology, database managementData entry accuracy, familiarity with oncology terminology, basic database skills
Work EnvironmentRemote, often in research or healthcare organizationsRemote, typically in healthcare or clinical settings
CertificationsData management certifications, healthcare or cancer-specific trainingData entry certifications, healthcare data familiarity

Remote Cancer Data Management involves analyzing and managing complex cancer datasets, requiring analytical skills and specialized knowledge. In contrast, Remote Oncology Data Entry focuses on accurately inputting patient data, emphasizing precision and speed. Both roles are remote and industry-specific but differ in responsibilities and skill requirements.

What is remote cancer data management?

Remote cancer data management involves collecting, organizing, and analyzing cancer-related patient data from a distance, often using secure online platforms. Professionals in this field work to ensure that cancer registries are accurate and up-to-date, supporting research, treatment planning, and public health initiatives. This job typically requires knowledge of medical terminology, data privacy regulations, and specialized cancer registry software. Many positions allow for flexible, work-from-home arrangements while still maintaining rigorous standards for data security and quality.

What are some common challenges faced in remote cancer data management and how can they be addressed?

Working in remote cancer data management often involves challenges such as ensuring data accuracy, maintaining patient confidentiality, and effective communication with clinical teams. Since you’ll be handling sensitive health information remotely, robust cybersecurity protocols and secure data-sharing platforms are essential. Additionally, regular virtual meetings and clear documentation standards help bridge the gap between remote team members and on-site healthcare professionals, ensuring data integrity and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as a Remote Cancer Data Management professional, and why are they important?

To thrive in Remote Cancer Data Management, you need a solid understanding of oncology data abstraction, medical terminology, and cancer registry standards, often supported by certification as a Certified Tumor Registrar (CTR). Familiarity with cancer registry software, electronic health records (EHR), and data reporting systems like SEER*DMS is commonly required. Attention to detail, analytical thinking, and strong written communication skills help ensure data accuracy and effective remote collaboration. These competencies are essential for maintaining high-quality cancer data that supports research, compliance, and improved patient outcomes.
More about Remote Cancer Data Management jobs
What cities are hiring for Remote Cancer Data Management jobs? Cities with the most Remote Cancer Data Management job openings:
What are the most commonly searched types of Cancer Data Management jobs? The most popular types of Cancer Data Management jobs are:
What states have the most Remote Cancer Data Management jobs? States with the most job openings for Remote Cancer Data Management jobs include:
What job categories do people searching Remote Cancer Data Management jobs look for? The top searched job categories for Remote Cancer Data Management jobs are:
Remote Cancer Data Management jobs near you
Infographic showing various Remote Cancer Data Management job openings in the United States as of May 2026, with employment types broken down into 4% As Needed, 81% Full Time, 3% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Senior Cancer Registrar (Part-Time Consultant / Domain Advisor)

Senior Cancer Registrar (Part-Time Consultant / Domain Advisor)

John Snow Labs

Remote

Full-time, Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Company Description 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, DevOps and SecOps. Job Description 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.sider? Qualifications 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 casefinding, 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
  • Certified Tumor Registrar (CTR) credential in good standing (required).
  • 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.
Screening Questions 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 casefinding 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
Additional Information Our Commitment to You At John Snow Labs, we believe that diversity is the catalyst of innovation. We're committed to empowering talented people from every background and perspective to thrive. We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com
  • We are a fully virtual company, collaborating across 28 countries.
  • This is a contract opportunity, not a full-time employment role.
Engagement Details
  • Type: Part-time / contract (long-term collaboration)
  • Hours: ~8-10 hours per week (flexible scheduling)
  • Location: Remote (U.S.-based)
  • Duration: Ongoing; renewable based on project milestones
  • Compensation: Competitive hourly consulting rate, commensurate with expertise

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