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Data Abstraction Jobs (NOW HIRING)

Natera

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Data Abstraction: Accurately review, interpret, and abstract clinical patient data from various electronic health record (EHR) systems, paper charts, and other source documents in accordance with ...

Natera

Sr Clinical Data Abstractor

Austin, TX

Data Abstraction: Accurately review, interpret, and abstract clinical patient data from various electronic health record (EHR) systems, paper charts, and other source documents in accordance with ...

Natera

Sr Clinical Data Abstractor

Data Abstraction: Accurately review, interpret, and abstract clinical patient data from various electronic health record (EHR) systems, paper charts, and other source documents in accordance with ...

Registry Partners

$15.75 - $21/hr

The ODS-C is detail-oriented, committed to high-quality data abstraction, meets both quality and productivity standards, functions well independently, and works well under time constraints to ensure ...

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How much do data abstraction jobs pay per hour?

As of May 28, 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 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.

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 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.

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Data Abstraction jobs near you
Infographic showing various Data Abstraction job openings in the United States as of May 2026, with employment types broken down into 78% Part Time, and 22% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $52,687 per year, or $25.3 per hour.
Remote NSQIP-Peds Data Abstractor (SCR Certified)

Remote NSQIP-Peds Data Abstractor (SCR Certified)

American Data Network

Manhattan, NY • Remote

Full-time

Posted 7 days ago

Job description

American Data Network is seeking a Data Abstraction Specialist to perform primary data abstraction duties for NSQIP-Peds. The role requires the collection and validation of patient records, ensuring accuracy in data abstraction, and adhering to specified guidelines. Candidates must have recent experience with NSQIP-Peds and strong interpersonal skills.

This is a remote position that values confidentiality and attention to detail. A degree in nursing or relevant certification is preferred. #J-18808-Ljbffr

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