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Remote Medical Data Abstractor Jobs in Kingston, PA

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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 4, 2026, the average hourly pay for remote medical data abstractor in Kingston, PA is $24.28, according to ZipRecruiter salary data. Most workers in this role earn between $17.74 and $30.67 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 Kingston, PA?

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

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

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

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

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

Data Product Manager

Berkshire Hathaway GUARD Insurance Companies

Wilkes Barre, PA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.  Hybrid schedule: 2 days remote / 3 inoffice  Predictable hours (no nights, weekends, or holidays)  Competitive pay + generous PTO  Medical, dental & vision starting day one  401(k), tuition reimbursement & longevity bonuses

Responsibilities

As a Data Product Manager at GUARD, you will own the business direction and value realization of domain data products. You will partner with underwriting, actuarial, and operational business leaders to identify high-value problems, shape product opportunities, prioritize investments, and lead cross-functional teams that deliver trusted, reusable data products for decision-making, operations, analytics, and AI readiness.

This is an opportunity to shape how an insurance carrier turns underwriting, actuarial, and operational expertise into reusable data products for analytics and AI. The role emphasizes product strategy, business partnership, discovery, adoption, and outcomes over agile ceremony ownership or backlog administration. You will turn complex insurance needs into trusted data products with clear business definitions, quality expectations, ownership, governance, and consumers.

As a Data Product Manager, you will:

  • Partner with underwriting, actuarial, and operational business leaders to identify high-value problems, decision needs, and opportunities for measurable business impact.
  • Shape product opportunities by defining the problem, target users, value proposition, success measures, adoption expectations, and prioritization rationale.
  • Define and manage product vision, roadmap, and priorities for domain data products, balancing value, feasibility, reuse, risk, rate and product considerations, and operational needs.
  • Lead discovery through stakeholder interviews, workshops, process analysis, user research, and validation of business needs.
  • Work with architects, engineers, analysts, and governance partners to define shared business concepts, semantic models, quality expectations, lineage, access controls, and reusable consumption patterns.
  • Lead cross-functional data product teams by setting direction, clarifying priorities, aligning stakeholders, and keeping the work focused on business outcomes.
  • Drive adoption by communicating product value, supporting rollout, gathering feedback, measuring usage, and ensuring products improve decisions or processes.
  • Ensure data products support reporting, analytics, operations, and AI use cases through trusted definitions, usability, quality, and governance.
Qualifications

Required qualifications:

  • 3+ years of experience in product management, data and analytics, business analysis, consulting, strategy, or a related field within the insurance industry.
  • Demonstrated knowledge of underwriting, actuarial, rate/product, portfolio, or underwriting operations processes.
  • Experience identifying business problems, shaping opportunities, and delivering insurance data solutions that support underwriting decisions, pricing analysis, portfolio insight, or operational execution.
  • Strong business acumen and ability to connect data capabilities to underwriting, actuarial, product, pricing, portfolio, or operational outcomes.
  • Experience leading cross-functional teams through ambiguity, aligning stakeholders, and influencing without direct authority.
  • Experience facilitating workshops, interviews, discovery sessions, prioritization discussions, and product planning conversations.
  • Ability to translate between business needs and data or technical concepts to support shared understanding and sound decisions.
  • Ability to define product goals, success measures, roadmaps, adoption plans, and prioritization criteria.
  • Proven ability to adapt, solve problems, and make progress in a changing environment.
  • Excellent spoken and written communication.

Preferred qualifications:

  • Experience with data products, data mesh, semantic models, data governance, analytics platforms, or AI-ready data initiatives.
  • Technical fluency in data and analytics concepts, including data quality, lineage, access controls, business definitions, metrics, and consumption patterns.
  • Direct Property & Casualty experience in underwriting, actuarial, product, pricing, or portfolio management, with the ability to apply that knowledge to data product strategy and decision support.
  • Direct experience supporting underwriting operations such as home office underwriting, service underwriting, premium audit, loss control, or related operational underwriting functions.
  • Familiarity with agile or iterative delivery methods; the role is primarily focused on product strategy, discovery, stakeholder alignment, adoption, and value realization.

Salary Range $88,230.60 - $217,946.30 + bonus

In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

New York, NY; Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ; and Rancho Cordova, CA.

*Applicants must be authorized to work in the U.S. without current or future sponsorship.

Interview Integrity Notice: Berkshire Hathaway GUARD is committed to a fair and consistent hiring process. Candidates are expected to participate independently in interviews. Unauthorized recording, transcription, AI note-taking, or AI interview assistance tools may not be used during interviews without prior approval.

Employment Type: FULL_TIME