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Data Abstraction Jobs (NOW HIRING)

... abstraction workflows. Laptop and equipment will be provided. Responsibilities: • Abstract ... data elements based on current registry specifications • Evaluate and validate AI-generated ...

$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 ...

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Data Abstraction information

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How much do data abstraction jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for 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 is the difference between Data Abstraction vs Data Analyst?

AspectData AbstractionData Analyst
Required CredentialsTypically a degree in computer science, information systems, or related fieldsUsually a degree in statistics, mathematics, or related fields
Work EnvironmentSoftware development teams, IT departments, data management projectsBusiness intelligence teams, marketing, finance, and operations departments
Employer & Industry UsageTech companies, software firms, data management organizationsCorporations across various industries, consulting firms, market research

Data Abstraction focuses on simplifying complex data structures in software development, while Data Analysts interpret data to support business decisions. Both roles require analytical skills but serve different purposes within data management and analysis.

What are some common challenges faced by data abstraction professionals, and how can they be addressed?

Data abstraction professionals often encounter challenges such as ensuring the accuracy and consistency of extracted data, navigating incomplete or ambiguous source documents, and staying updated with changing data standards. To address these issues, it's important to develop strong attention to detail, establish clear data abstraction protocols, and participate in regular training sessions. Collaborating closely with quality assurance teams and leveraging technology, such as data abstraction software, can also help maintain high standards and efficiency in the role.

What is data abstraction?

Data abstraction is the process of simplifying complex data by extracting relevant information and presenting it in a more manageable form. In many industries, especially healthcare, data abstractors review records and summarize key details into databases for analysis and reporting. This helps organizations make informed decisions by focusing on essential data points without unnecessary details. Data abstraction improves efficiency, accuracy, and data organization.

What are the key skills and qualifications needed to thrive as a Data Abstractor, and why are they important?

To thrive as a Data Abstractor, you need strong analytical skills, attention to detail, and a background in health information management or a related field, often supported by a relevant certification such as RHIT or RHIA. Familiarity with electronic health records (EHR) systems, data abstraction software, and coding standards like ICD-10 and CPT is typically required. Excellent organizational abilities, problem-solving skills, and clear communication help individuals excel in reviewing and extracting precise data from complex documents. These skills are crucial for ensuring data accuracy, supporting healthcare quality initiatives, and enabling effective decision-making.
More about Data Abstraction jobs
What cities are hiring for Data Abstraction jobs? Cities with the most Data Abstraction job openings:
What are the most commonly searched types of Data Abstraction jobs? The most popular types of Data Abstraction jobs are:
What states have the most Data Abstraction jobs? States with the most job openings for Data Abstraction jobs include:
Certified Oncology Data Specialist (Remote)

Certified Oncology Data Specialist (Remote)

American Data Network

Little Rock, AR • 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.