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Remote Medical Data Abstractor Jobs in McAllen, TX

micro1 AI

Director of Biostatistics

Edinburg, TX · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

Tamus

Program Specialist I

Mcallen, TX · On-site +1

$3.7K/mo

Ability to travel independently to other and/or remote locations by driving and/or flying on ... Experience with data collection and data management efforts. * Experience with community-based ...

New

Texas A&M University

Program Specialist I

Mcallen, TX · On-site +1

$3.7K/mo

Ability to travel independently to other and/or remote locations by driving and/or flying on ... Experience with data collection and data management efforts. * Experience with community-based ...

New

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Remote Medical Data Abstractor information

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

As of Sep 5, 2026, the average hourly pay for remote medical data abstractor in McAllen, TX is $24.06, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $30.38 per hour, depending on experience, location, and employer.

What is a remote medical data abstractor?

A Remote Medical Data Abstractor is a professional who reviews and extracts relevant medical information from patient records and enters it into electronic databases or systems. Working remotely, they analyze clinical documents to ensure accurate data capture for research, billing, or quality improvement purposes. This role requires strong attention to detail, knowledge of medical terminology, and familiarity with electronic health record (EHR) systems. Remote Medical Data Abstractors play a key role in supporting healthcare organizations by maintaining accurate and up-to-date patient data.

What are the key skills and qualifications needed to thrive as a remote medical data abstractor, and why are they important?

To thrive as a Remote Medical Data Abstractor, you need a strong understanding of medical terminology, clinical documentation, and experience with healthcare coding or data management—often supported by a degree in health information management or a related field. Proficiency with electronic health record (EHR) systems, data abstraction tools, and sometimes certifications like RHIT or CPC are typically required. Exceptional attention to detail, time management, and effective communication are crucial soft skills for ensuring accuracy and efficiency while working independently. These skills ensure high-quality data collection, compliance with healthcare regulations, and support accurate patient care and reporting.

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

Remote Medical Data Abstractors often encounter challenges such as navigating multiple electronic health record (EHR) systems, ensuring data accuracy, and managing large volumes of patient information within tight deadlines. Staying organized, maintaining meticulous attention to detail, and regularly communicating with healthcare teams can help overcome these hurdles. Many employers provide comprehensive onboarding and ongoing support to ensure abstractors can efficiently access data and resolve any technical issues. Utilizing secure and reliable internet connections, as well as keeping up-to-date with best practices in data security and HIPAA compliance, are also essential for success in this remote role.

What is the difference between Remote Medical Data Abstractor vs Remote Medical Coder?

AspectRemote Medical Data AbstractorRemote Medical Coder
CredentialsTypically requires a certification in medical data abstraction or related trainingRequires coding certifications like CPC or CCS
Work EnvironmentPrimarily reviews and extracts data from medical recordsAssigns standardized codes to diagnoses and procedures
Industry UsageUsed in research, clinical trials, and healthcare data analysisUsed in billing, reimbursement, and insurance claims
Search & Comparison IntentOften compared for data accuracy and record review rolesCompared for billing, coding accuracy, and compliance

The Remote Medical Data Abstractor focuses on extracting relevant information from medical records for research or analysis, while the Remote Medical Coder assigns standardized codes for billing and reimbursement. Both roles require healthcare knowledge and certification but serve different functions within the healthcare industry.

What are popular job titles related to Remote Medical Data Abstractor jobs in McAllen, TX?

For Remote Medical Data Abstractor jobs in McAllen, TX, the most frequently searched job titles are:

What job categories do people searching Remote Medical Data Abstractor jobs in McAllen, TX look for?

The top searched job categories for Remote Medical Data Abstractor jobs in McAllen, TX are:

What cities near McAllen, TX are hiring for Remote Medical Data Abstractor jobs?

Cities near McAllen, TX with the most Remote Medical Data Abstractor job openings:

Remote Medical Data Abstractor jobs near you

Director of Biostatistics

micro1 AI

Edinburg, TX • Remote

$60 - $100/hr

Part-time

Re-posted 2 hours ago

Job description

Role Title: Biostatistician


Role Type: Contractor


Location: Remote


micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI benchmarking. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Design and author expert-level evaluation tasks simulating real-world biostatistics challenges, such as clinical trial analysis, regulatory submission reviews, and observational study assessments.
  2. Source, construct, and curate authentic datasets including trial data, patient records, and protocol documents for task use.
  3. Define correct methodological solutions and defensible clinical interpretations for each evaluation scenario.
  4. Develop comprehensive, 35+ item rubrics to evaluate AI agent performance with respect to methodological rigor and clinical reasoning.
  5. Ensure all tasks reflect the complexity and depth of real-world biostatistics practice, avoiding simplified or textbook-style examples.
  6. Collaborate with project stakeholders to ensure deliverables align with regulatory and scientific standards.


Preferred Qualifications

  1. MS or PhD in biostatistics, statistics, or epidemiology.
  2. 4+ years of experience in pharmaceutical, contract research, hospital, or academic medical contexts.
  3. Demonstrated command of clinical study design, regulatory documentation, and observational research methodologies.
  4. Advanced proficiency in R, Python, SAS, or Stata applied to real clinical or epidemiological datasets.
  5. Strong attention to methodological detail, clinical interpretation, and regulatory sensitivity.
  6. Experience preparing submission-ready deliverables for regulatory agencies (e.g., FDA, EMA) is a plus.
  7. Excellent written communication skills and ability to author detailed grading rubrics and technical documentation.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

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