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Remote Data Abstraction Jobs (NOW HIRING)

$32/hr

Position: Flexible Schedule Clinical Data Abstractor Location: 100% Remote (Non-Benefit Position) Are you experienced in clinical data abstraction? Carta Healthcare Inc. is seeking talented ...

Responsible for the review and detailed abstraction and coding of cancer registry data from ... in remote settings, with minimal assistance. * Demonstrates proficiency in coding using ICD-O-3, ...

Responsible for the review and detailed abstraction and coding of cancer registry data from ... in remote settings, with minimal assistance. * Demonstrates proficiency in coding using ICD-O-3, ...

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Remote Data Abstraction information

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How much do remote data abstraction jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for remote data abstraction in the United States is $25.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $31.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Data Abstraction position, and why are they important?

To thrive as a Remote Data Abstraction professional, you need excellent attention to detail, strong analytical skills, and familiarity with medical terminology or data management principles, usually supported by relevant education or experience. Proficiency in using electronic health record (EHR) systems, data abstraction software, and spreadsheet tools like Excel is typically essential, with some employers preferring candidates with certifications such as RHIT or experience with HIPAA compliance. Strong organizational abilities, self-motivation, and clear written communication are standout soft skills for this remote position. These skills ensure accurate, efficient extraction and reporting of data, which is crucial for supporting healthcare quality initiatives and research from a remote setting.

How to make $1000 a week remotely?

Remote data abstraction jobs typically pay per project or hourly, with earnings depending on experience, efficiency, and the volume of work completed. To make $1000 a week, professionals often need to work full-time hours, develop strong attention to detail, and use relevant tools or software to increase productivity. Building a reputation and gaining certifications can also help secure higher-paying assignments.

How do I become a data abstractor?

To become a data abstractor, you typically need a high school diploma or equivalent, strong attention to detail, and proficiency with data management tools like spreadsheets or database software. Relevant experience in healthcare, research, or data entry can be beneficial, and some employers may require certification in medical coding or data management. Training is often provided on the job, and attention to accuracy and confidentiality is essential in this role.

What is a Remote Data Abstraction job?

A Remote Data Abstraction job involves reviewing, analyzing, and extracting key information from medical records, research data, or other databases to ensure accurate reporting and compliance. Professionals in this role often work for healthcare organizations, research institutions, or insurance companies to support data-driven decision-making. They use specialized software to remotely access records, ensuring data quality and completeness. Strong attention to detail, knowledge of medical terminology, and adherence to confidentiality regulations are essential for success in this role.

How can I make 2000 a week working from home?

Remote Data Abstraction jobs can offer high earning potential, especially with experience, efficiency, and attention to detail. To reach $2000 weekly, you may need to work full-time hours, develop strong data management skills, and possibly obtain relevant certifications to increase your productivity and pay rate.

What is remote data abstraction?

Remote data abstraction involves collecting and organizing data from various sources without being physically present at the data location. In this role, professionals often use tools like electronic health records or database management systems and may work independently or as part of a remote team to ensure data accuracy and completeness.

What does a typical workday look like for someone in a Remote Data Abstraction role?

A typical day for a Remote Data Abstraction specialist involves accessing secure databases or EHR systems to review and extract key data points from patient medical records or other sources according to project-specific guidelines. You'll spend most of your time carefully analyzing records, inputting information into designated templates, and ensuring compliance with privacy regulations. Collaboration usually occurs through virtual meetings, chat platforms, or email, often working closely with quality assurance teams, project managers, or clinical staff. Many roles offer flexible scheduling but require consistent productivity and meticulous documentation to meet reporting deadlines.

More about Remote Data Abstraction jobs
What cities are hiring for Remote Data Abstraction jobs? Cities with the most Remote Data Abstraction job openings:
What states have the most Remote Data Abstraction jobs? States with the most job openings for Remote Data Abstraction jobs include:
Infographic showing various Remote Data Abstraction job openings in the United States as of July 2026, with employment types broken down into 6% Locum Tenens, 62% Full Time, 27% Part Time, 2% Contract, and 3% Summer. Highlights an 70% Physical, 2% Hybrid, and 28% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Certified Oncology Data Specialist (Remote)

Certified Oncology Data Specialist (Remote)

American Data Network

Little Rock, AR โ€ข Remote

Contractor

Posted 20 days ago


Job description

Salary:

Why ADN? Join the American Data Network family and become part of an established, purpose-driven healthcare quality organization with more than 30 years of experience. At ADN, our work supports hospitals and healthcare clients in improving quality, patient safety, and clinical outcomes. We value integrity, accuracy, collaboration, and professionalism, and we are looking for experienced abstractors who take pride in producing high-quality work.


Position Summary: American Data Network is seeking experienced certified Oncology Data Specialists (ODS) to support accurate and timely oncology data abstraction for assigned healthcare clients. This role is ideal for candidates with recent, hands-on oncology data abstraction experience who can independently review clinical documentation, apply registry specifications, and meet assigned deadlines with a high level of accuracy.


This is not a general data entry position. Candidates must have direct healthcare quality reporting, clinical chart review, or data abstraction experience specific to Oncology.


Position Details: ADN hires both contractors and full-time employees for Data Abstraction roles. Contractors must be available for a minimum of 15 hours per week.


Key Responsibilities:

  • Reviews patient medical records and abstracts data for oncology registries.
  • Applies registry specifications, definitions, inclusion and exclusion criteria, and abstraction guidelines accurately and consistently.
  • Maintains compliance with NCRA and other applicable guidelines to ensure the integrity and quality of the registry data.
  • Collaborates with oncology program leadership, performance improvement teams, and clinical staff to clarify documentation and support oncology program goals.
  • Enters accurate and complete data into assigned registry platforms, EHRs, vendor tools, or other data collection systems.
  • Maintains a high level of abstraction accuracy, completeness, and attention to detail.
  • Meets assigned productivity expectations, weekly progress goals, and internal and client deadlines.
  • Participates in quality assurance activities, including feedback, correction, validation, and IRR reviews.
  • Communicates professionally with account leads, team members, and client contacts when clarification is needed.
  • Maintains strict confidentiality and complies with ADN, client, HIPAA, and data security requirements.


Qualifications:

Required:

  • Current Oncology Data Specialist (ODS) certification by the National Cancer Registrars Association (NCRA) required.
  • Minimum 1 year of oncology registry experience required, with 2 or more years preferred.
  • Advanced understanding of oncology registry processes, coding, registry rules, and manuals, including SEER, AJCC, and other applicable standards.
  • Ability to work independently with minimal supervision while maintaining accuracy and meeting deadlines.
  • Strong attention to detail, organization, documentation, and follow-through.
  • Comfort working in multiple EHRs, registry platforms, vendor tools, and data collection systems as assigned.
  • Excellent interpersonal and written communication skills.
  • Contractors must have high-speed secure internet, a PC or laptop, and at least two monitors.


Preferred:

  • Experience using oncology registry applications, reports, and other related data collection resources.
  • Experience with IRR, QA review, audit validation, and/or abstraction accuracy review.


Screening & Onboarding:
Qualified candidates will complete an initial phone screen to evaluate qualifications and proof of certification.


ADN does not provide basic Oncology abstraction training, so candidates should already have the experience needed for the role. After hire, ADN provides onboarding to ADN processes, client systems, EHR access, documentation tendencies, and other client-specific workflows.


Why This Role May Be a Good Fit: This position may be a strong fit for experienced and certified Oncology Data Specialists (ODS) who enjoy independent work, flexible scheduling, chart reviews, healthcare quality reporting, and contributing to meaningful work that supports hospitals and patient care. ADN offers a knowledgeable and supportive team environment, multiple abstraction opportunities, and potential growth into lead or expanded quality roles for strong performers.