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Remote Medical Data Abstractor Jobs in Pittsburgh, PA

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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 Pittsburgh, PA is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $31.06 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 Pittsburgh, PA?

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

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

The top searched job categories for Remote Medical Data Abstractor jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Medical Data Abstractor jobs?

Cities near Pittsburgh, PA with the most Remote Medical Data Abstractor job openings:

Remote Medical Data Abstractor jobs near you

Actuary Specialist - Actuarial Cost Insights (Remote)

UPMC Senior Communities

Pittsburgh, PA • On-site, Remote

$59.47 - $101.15/hr

Full-time

Posted 4 days ago

Job description

Purpose:
UPMC Health Plan is seeking an Actuary Specialist in its Department of Health Economics! This credentialed healthcare actuary would independently own and execute sophisticated actuarial analyses, apply industry expertise to identify opportunities, and influence strategic decisions around trend drivers. This includes leading the process of analyzing medical cost utilization and unit cost data, identifying top trend drivers and affordability opportunities, and frequently presenting findings to leadership.
The Actuary Specialist will require a diverse set of skills and experience, including data and analytics expertise, broad-based business and health economics acumen, a strategic mindset, and an ability to influence and leverage cross-functional teams in a non-traditional actuarial environment. This position may also direct or supervise less experienced actuarial analysts in the performance of duties.
As an Actuary at UPMC, you will be given support for professional designations through our comprehensive student program and continuing education opportunities. Our team members can choose a work style that is best for them - this position is eligible for fully remote work or a hybrid work arrangement for candidates based in Pittsburgh, PA.
Responsibilities:
  • Drive creative problem-solving and strategic decision-making involving medical cost improvement strategies.
  • Lead the development of detailed actuarial and financial tools to communicate drivers of financial performance to facilitate corporate decision-making and the development of cost mitigation strategies.
  • Lead the monthly Leading Indicator process detailing emerging results and present results to clinical teams to support timely intervention and decision-making.
  • Independently lead the design, development, and execution of complex actuarial analyses that translate business questions into actionable insights and strategic recommendations.
  • Lead the analysis for analyzing the impacts of healthcare affordability initiatives on medical cost and utilization trends.
  • Apply analytical and statistical software tools to summarize large healthcare data to glean findings and actionable insights and deliver results to leadership.
  • Forecast and interpret financial results, including variances from budget, to help identify medical cost improvement opportunities and potential risks.
  • Analyze trends in spending and utilization using healthcare claims data.
  • Develop and gain support for data-based recommendations with team members from product, clinical, network, and strategy functions.
  • Lead the development of well-documented standard actuarial reports and projects.
  • Frequently present results of analyses and recommendations to management and senior leaders and lead the completion of follow-ups and next steps.
  • Apply an understanding of complex actuarial concepts, methods, and applications in a variety of situations.
  • Creatively leverage a wide range of datasets to inform key analyses.
  • Provide direction and supervision to less experienced staff in the performance of duties. May directly manage 1 analyst.
  • Build strong relationships with Actuarial, Analytics, and Finance teams across the enterprise.
  • Ensure that departmental work products meet the highest standards of quality.

Qualifications:
  • Bachelor's degree in mathematics, statistics, actuarial science, economics or related field required.
  • 7+ years of experience in actuarial work in a health insurance, managed care or related consulting business; or equivalent training, education and/or experience.
  • Experience in any of the following is a strong preference: Power BI, claims-based experience analysis, trend analysis, population health, network and reimbursement analysis.
  • Experience with commercial and government health programs is preferred.
  • In-depth understanding of health insurance market dynamics.
  • Excellent problem solving and analytical skills.
  • Excellent oral and written communication skills.
  • Strong PC skills.
  • Adaptability and ability to prioritize effectively
  • Data retrieval skills and relational database experience required, including SQL and/or SAS.
  • Data visualization experience is preferred.
    Licensure, Certifications, and Clearances:
  • A.S.A. or F.S.A. certification by Society of Actuaries Membership in the American Academy of Actuaries
    UPMC is an Equal Opportunity Employer/Disability/Veteran

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