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Remote Clinical Data Abstractor Jobs in Georgia (NOW HIRING)

Remote based in the US Hours: Approximately 5h per week Role: Clinical Specialist Start: immediate ... Our mission is to combine data science and human expertise to transform healthcare worldwide. We ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Remote Clinical Data Abstractor information

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How much do remote clinical data abstractor jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote clinical data abstractor in Georgia is $21.39, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $27.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote clinical data abstractor?

To excel as a Remote Clinical Data Abstractor, you need a strong background in medical terminology, anatomy, and clinical documentation, often supported by experience in healthcare or a related degree. Familiarity with electronic health record (EHR) systems, data abstraction software, and certifications such as RHIA, RHIT, or CCS are highly valued. Attention to detail, self-motivation, and strong communication skills are essential soft skills in this remote role. These competencies ensure accurate extraction and management of clinical data, supporting compliance and quality improvement initiatives.

What are some common challenges faced by remote clinical data abstractors, and how can they be managed?

Remote Clinical Data Abstractors often encounter challenges such as managing large volumes of complex medical records, interpreting varied documentation styles, and maintaining accuracy under tight deadlines. Staying organized through effective time management and utilizing standardized abstraction guidelines can help mitigate these obstacles. Regular communication with clinical teams and ongoing training are also important for resolving ambiguities and staying updated on best practices. Adapting to a remote environment requires self-discipline, but with the right tools and support, most abstractors can excel and find satisfaction in the vital work they do.

What are the most commonly searched types of Clinical Data Abstractor jobs in Georgia?

The most popular types of Clinical Data Abstractor jobs in Georgia are:

What cities in Georgia are hiring for Remote Clinical Data Abstractor jobs?

Cities in Georgia with the most Remote Clinical Data Abstractor job openings:

Infographic showing various Remote Clinical Data Abstractor job openings in Georgia as of August 2026, with employment types broken down into 57% Full Time, 27% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,488 per year, or $21.4 per hour.

Clinician (Oncology / Hematology) Expert - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$160 - $200/hr

Full-time

Posted 12 days ago


Job description

Job Title: Clinician (Oncology / Hematology)
Job Type: Contractor
Location: Remote

Job Overview

We are looking for experienced Oncology and Hematology Clinicians to support an innovative AI healthcare project. You will review clinical content, evaluate trial data, and provide expert medical insights to help improve AI systems. No prior AI experience is required.

Key Responsibilities
  • Review and evaluate oncology/hematology clinical documents and trial data.
  • Assess treatment outcomes, safety reports, adverse events, and dose escalation strategies.
  • Apply clinical response criteria such as RECIST, Lugano, IMWG, IWCLL, and ELN.
  • Provide clear, evidence-based clinical assessments and feedback.
  • Support AI model training through high-quality medical evaluations.
Required Skills
  • Clinical Oncology & Hematology
  • Clinical Trial Evaluation
  • CTCAE Grading
  • RECIST, Lugano, IMWG, IWCLL, ELN Criteria
  • Endpoint Analysis (ORR, DoR, PFS, OS, MRD)
  • Dose Escalation & Adverse Event Assessment
Preferred Qualifications
  • Board-certified Medical Oncologist and/or Hematologist.
  • 5+ years of post-training clinical experience.
  • Experience in clinical trials, medical monitoring, or clinical development.
  • Strong knowledge of oncology/hematology trial documentation and response criteria.
  • Excellent written communication skills.
  • Publications and AI-assisted clinical review experience are a plus