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Entry Level Rn Clinical Data Abstractor Jobs (NOW HIRING)

Tempus

Clinical Data Abstractor I

Chicago, IL · On-site

$50K - $55K/yr

We are looking for Jr. Data Abstractors (JDAs) to join our rapidly growing clinical data team. JDAs will be responsible for reviewing clinical records, structuring key data elements and helping to ...

Advocate Aurora Health

$21.85 - $32.80/hr

Independently abstracts and interprets pertinent data from medical records with an average level of ... Registered Nurse experience preferred * Cardiac Clinical experience preferred SKILLS/QUALIFICATIONS:

Astrana Health, Inc.

HEDIS Abstractor

Monterey Park, CA · On-site

$27 - $33/hr

... and submission of clinical data in accordance with NCQA HEDIS technical specifications and ... Certified Professional Coder (CPC), RHIT, RHIA, LVN/LPN, RN, or other healthcare-related ...

Astrana Health

HEDIS Abstractor

Monterey Park, CA · Hybrid

$27 - $33/hr

... and submission of clinical data in accordance with NCQA HEDIS technical specifications and ... Certified Professional Coder (CPC), RHIT, RHIA, LVN/LPN, RN, or other healthcare-related ...

Astrana Health, Inc.

HEDIS Abstractor

Monterey Park, CA · Hybrid

$27 - $33/hr

... and submission of clinical data in accordance with NCQA HEDIS technical specifications and ... Certified Professional Coder (CPC), RHIT, RHIA, LVN/LPN, RN, or other healthcare-related ...

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All JobsEntry Level Rn Clinical Data Abstractor Jobs

Entry Level Rn Clinical Data Abstractor information

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How much do entry level rn clinical data abstractor jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for entry level rn clinical data abstractor in the United States is $47.93, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $57.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level RN Clinical Data Abstractor, and why are they important?

To thrive as an Entry Level RN Clinical Data Abstractor, you need a valid RN license, a solid understanding of clinical terminology, and basic experience with patient care documentation. Familiarity with electronic health records (EHR) systems, data abstraction tools, and knowledge of coding standards such as ICD-10 or CPT is typically required. Attention to detail, analytical thinking, and effective written communication are crucial soft skills that set high performers apart. These competencies ensure the accurate extraction and interpretation of clinical data, which supports quality improvement and regulatory compliance in healthcare settings.

What is the difference between Entry Level Rn Clinical Data Abstractor vs Medical Records Technician?

AspectEntry Level Rn Clinical Data AbstractorMedical Records Technician
Required CredentialsRN license, clinical experience, data abstraction skillsHigh school diploma or GED, certification preferred
Work EnvironmentHospitals, clinics, healthcare facilitiesMedical records departments, healthcare facilities
Job ResponsibilitiesReview and abstract clinical data from patient recordsOrganize, code, and maintain medical records
Industry UsageHealthcare, clinical researchHealthcare, health information management

While both roles involve handling medical information, the Entry Level Rn Clinical Data Abstractor requires an RN license and clinical background to interpret medical data, whereas the Medical Records Technician focuses on organizing and coding medical records without clinical licensure. The abstractor role is more specialized in clinical data review, often supporting research or quality improvement projects.

What does an Entry Level RN Clinical Data Abstractor do?

An Entry Level RN Clinical Data Abstractor is a registered nurse who collects and analyzes clinical data from patient records to ensure accurate and complete documentation for quality improvement, research, or regulatory compliance. They review medical charts, extract relevant information based on specific guidelines, and enter this data into databases or registries. This role helps healthcare organizations monitor outcomes, comply with reporting requirements, and improve patient care processes.

What are some typical challenges faced by entry-level RN Clinical Data Abstractors, and how can they be addressed?

Entry-level RN Clinical Data Abstractors often face challenges such as adapting to complex electronic health record (EHR) systems, ensuring accuracy while abstracting large volumes of clinical data, and staying updated with changing clinical guidelines and abstraction protocols. To address these, new abstractors benefit from thorough onboarding, mentorship from experienced team members, and ongoing training in both clinical standards and data management software. Strong attention to detail and effective communication with clinical staff are essential for success in this role.
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Entry Level Rn Clinical Data Abstractor jobs near you
Infographic showing various Entry Level Rn Clinical Data Abstractor job openings in the United States as of June 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $99,696 per year, or $47.9 per hour.
Clinical Data Abstractor I

Clinical Data Abstractor I

Tempus

Chicago, IL • On-site

$50K - $55K/yr

Full-time

Posted 19 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?
Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.
We are looking for Jr. Data Abstractors (JDAs) to join our rapidly growing clinical data team. JDAs will be responsible for reviewing clinical records, structuring key data elements and helping to ensure that clinicians have access to meaningful data and insights to treat their patients. This is an ideal position for someone with a scientific or clinical background who is interested in working at the crossroads of healthcare technology and data analysis to solve some of today's most challenging medical questions.
Responsibilities:
  • Extract, structure and analyze data from medical records to construct the foundation of a growing database for cancer and other disease types
  • Work with multiple data sources to extract information to pull into various reports
  • Maintain highest quality standards through rigorous quality assurance (QA) process to identify and correct mistakes and inconsistencies in abstracted data
  • Learn new concepts in order to structure data on different disease types
  • Provide feedback on new product features and workflow improvements

Qualifications:
  • BS or MS degree in Genetics, Molecular Genetics, Cancer Biology, Virology, Infectious Disease, Immunology, Microbiology or Biology preferred
  • 0-3 years work experience
  • Knowledge of medical / genomic terminology, medical abbreviations and pharmacy terms is a plus
  • Excellent interpersonal, written and verbal communication skills
  • Ability to work efficiently under time constraints
  • Proficient in Google Suite (Gmail, Google Docs, Sheets, etc.)
  • Obsessive attention to detail
  • Ability and willingness to work in an agile and expanding team environment
  • Willingness to be flexible and adapt quickly

#LI-DA1
CHI: $50,000
NYC: $55,000
The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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