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Remote Clinical Data Abstractor Jobs in Virginia

Sentara Health

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$10K/mo

Knowledge of ECDS, digital HEDIS measures, FHIR, HIE integration, and clinical-data exchange ... For positions that are available as remote work, Sentara Health employs associates in the following ...

Sentara Healthcare

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

Knowledge of ECDS, digital HEDIS measures, FHIR, HIE integration, and clinical-data exchange ... For positions that are available as remote work, Sentara Health employs associates in the following ...

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All JobsClinical Data Abstractor JobsRemote Clinical Data Abstractor JobsRemote Clinical Data Abstractor Jobs in Virginia

Remote Clinical Data Abstractor information

See Virginia salary details

$14

$25

$38

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

As of Aug 9, 2026, the average hourly pay for remote clinical data abstractor in Virginia is $25.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $31.68 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 Virginia? The most popular types of Clinical Data Abstractor jobs in Virginia are:
What are popular job titles related to Remote Clinical Data Abstractor jobs in Virginia? For Remote Clinical Data Abstractor jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Abstractor jobs in Virginia look for? The top searched job categories for Remote Clinical Data Abstractor jobs in Virginia are:
What cities in Virginia are hiring for Remote Clinical Data Abstractor jobs? Cities in Virginia with the most Remote Clinical Data Abstractor job openings:
Remote Clinical Data Abstractor jobs near you
Infographic showing various Remote Clinical Data Abstractor job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,235 per year, or $25.1 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Alexandria, VA • Remote

$90 - $120/hr

Part-time

Posted 12 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. 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. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply