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Internship Remote Clinical Data Abstractor Jobs in Austin, TX

YO AI Labs

Clinicia Expert - Remote

Austin, TX · Remote

$150 - $200/hr

Clinician Expert Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... clinical content, reviewing trial data, and providing expert medical judgment. No prior AI ...

IQVIA

Clinical Trial Psych Rater

Austin, TX · Remote

$62K - $156K/yr

Remote/Virtual Hours: Estimated 10-16 hours per month Role: Clinical Specialist About IQVIA IQVIA ... Review case data and prepare for rater discussions, ensuring all relevant documents and scale items ...

Aledade PBC

Staff Security Engineer - IAM

Austin, TX · Remote

Experience with health-tech systems, like Electronic Health Records, Clinical data, etc. Domain ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Aledade PBC

Staff Security Engineer - IAM

Austin, TX · Remote

Experience with health-tech systems, like Electronic Health Records, Clinical data, etc. Domain ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Aledade PBC

Staff Security Engineer - IAM

Austin, TX · On-site +1

Experience with health-tech systems, like Electronic Health Records, Clinical data, etc. Domain ... remote-first culture - you've come to the right place. What Does This Mean for You? At Aledade PBC ...

Rugiet Health

Director of Data (Remote)

Austin, TX · On-site +1

We're rethinking how patients access specialized treatments - with speed, discretion, and real clinical impact. Our growth is accelerating, our data volume is exploding, and our opportunities are ...

Magnus Medical

Field Clinical Engineer

Austin, TX · On-site +1

$110K - $115K/yr

Remote ( Central U.S.) Company background Magnus Medical is a neurotechnology company ... Demonstrated experience presenting scientific data and an established publication record * Willing ...

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Internship Remote Clinical Data Abstractor information

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

As of Aug 22, 2026, the average hourly pay for internship remote clinical data abstractor in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is an internship remote clinical data abstractor?

An Internship Remote Clinical Data Abstractor is a trainee who works remotely to collect and organize clinical data from patient records and other healthcare documents. Their main responsibility is to review medical records, extract specific data points, and enter them into databases or electronic health record systems. This role is crucial for supporting research projects, quality improvement initiatives, and regulatory reporting in healthcare organizations. Interns in this position gain valuable experience in medical data management, health informatics, and compliance with privacy standards such as HIPAA.

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

To thrive as an Internship Remote Clinical Data Abstractor, you need a solid understanding of medical terminology, clinical documentation, and data management, often supported by coursework in health sciences or related fields. Familiarity with electronic health records (EHR) systems, data abstraction software, and HIPAA compliance is typically required. Attention to detail, strong analytical thinking, and effective written communication are crucial soft skills for this role. These abilities ensure accurate data extraction, maintain patient confidentiality, and support reliable clinical research or quality improvement efforts.

What are some typical challenges faced during a remote clinical data abstractor internship?

Interns in remote clinical data abstraction often face challenges related to learning complex medical terminology and understanding various electronic health record (EHR) systems. Adapting to remote communication with supervisors and team members can also require strong organizational and time management skills. Additionally, maintaining strict attention to detail is essential, as data accuracy directly impacts patient care and research outcomes. Interns are encouraged to proactively seek feedback and clarification to overcome these challenges and ensure high-quality work.

What is the difference between Internship Remote Clinical Data Abstractor vs Remote Clinical Data Coordinator?

AspectInternship Remote Clinical Data AbstractorRemote Clinical Data Coordinator
CredentialsTypically pursuing or recent graduate, no required certificationsOften requires relevant certifications or experience
Work EnvironmentRemote, internship setting, part-time or temporaryRemote, full-time, ongoing role
Employer & IndustryResearch institutions, clinical trials, healthcare companiesHospitals, research organizations, pharmaceutical companies
Search & Comparison IntentLearning about entry-level or internship roles in clinical dataUnderstanding full-time data management roles in healthcare

The Internship Remote Clinical Data Abstractor is an entry-level, temporary position ideal for students or recent graduates gaining experience in clinical data abstraction. In contrast, the Remote Clinical Data Coordinator is a more advanced, ongoing role responsible for managing and coordinating clinical data processes. Both roles are remote and industry-focused, but differ in experience level, responsibilities, and employment status.

Internship Remote Clinical Data Abstractor jobs near you

Clinicia Expert - Remote

YO AI Labs

Austin, TX • Remote

$150 - $200/hr

Full-time

Posted 11 days ago

Job description

Job Title: Clinician Expert Remote

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Clinicians specializing in Oncology and Hematology to contribute their medical expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by evaluating clinical content, reviewing trial data, and providing expert medical judgment. No prior AI experience is required—your clinical expertise and domain knowledge are what matter most.

Key Responsibilities

  • Author and review clinical evaluation tasks requiring advanced oncology and hematology expertise.

  • Analyze clinical study reports, safety reports, regulatory documents, and trial materials to assess medical accuracy.

  • Evaluate the clinical relevance of efficacy and safety conclusions, including endpoints and treatment outcomes.

  • Assess dose escalation strategies, dose-limiting toxicities, adverse event grading, attribution, and patient safety narratives.

  • Review benefit-risk assessments and identify clinically inconsistent, inaccurate, or implausible interpretations.

  • Provide structured, guideline-based written explanations of clinical reasoning and findings.

  • Support AI model training by delivering high-quality clinical evaluations and expert feedback.

Required Skills

  • Clinical Oncology

  • Clinical Hematology

  • Clinical Trial Evaluation

  • CTCAE Grading

  • RECIST

  • Lugano Criteria

  • IMWG Criteria

  • IWCLL Criteria

  • ELN Criteria

  • Outcome Endpoint Analysis (ORR, DoR, PFS, OS, MRD)

  • Dose Escalation Assessment

  • Adverse Event Grading & Attribution

Preferred Qualifications

  • Board certification or specialist registration in Medical Oncology and/or Hematology.

  • 5+ years of post-training clinical experience.

  • Direct experience with clinical trials as an investigator, sub-investigator, medical monitor, safety physician, or clinical development physician.

  • Experience reviewing clinical trial documents, including protocols, investigator brochures, clinical study reports, safety narratives, and DSMB/IDMC materials.

  • Strong understanding of oncology and hematology response criteria and clinical endpoints.

  • Excellent written communication skills with the ability to explain complex clinical concepts clearly.

  • Experience in medical monitoring, medical director roles, adjudication committees, or independent review committees is preferred.

  • Peer-reviewed publications or authorship of clinical trial manuscripts is a plus.

  • Experience with AI-assisted clinical review tools is an advantage.