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Contract Remote Clinical Data Abstractor Jobs in Virginia

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

This role is contingent upon a contract award. ICF is seeking an experienced Data Analytics Manager ... This position is remote within the United States. Please note that ICF monitors employee work ...

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Contract Remote Clinical Data Abstractor information

What are some common challenges faced by contract remote clinical data abstractors?

Remote contract clinical data abstractors often encounter challenges related to accessing and interpreting diverse medical records from multiple healthcare systems, as each may use different documentation standards or electronic health record platforms. Time management and self-motivation are also crucial, since contract work requires balancing productivity with quality while working independently. Additionally, maintaining strict data security and privacy protocols is essential, as handling sensitive patient information remotely necessitates adherence to HIPAA and organizational standards.

What is a contract remote clinical data abstractor?

A Contract Remote Clinical Data Abstractor is a healthcare professional who reviews and extracts specific medical data from patient records or clinical documentation, typically for research, quality reporting, or billing purposes. Working on a contract basis, they are hired for a set period or project and perform their duties remotely, often from home. Their work helps ensure that healthcare organizations maintain accurate and complete data, which is essential for compliance, research, and improving patient care. They may need experience with electronic health record (EHR) systems and a background in healthcare or medical coding.

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

To thrive as a Contract Remote Clinical Data Abstractor, you need a solid understanding of medical terminology, clinical procedures, and healthcare data standards, usually supported by experience in nursing, health information management, or a related field. Familiarity with electronic health record (EHR) systems, data abstraction tools, and relevant certifications such as Certified Clinical Data Abstractor (CCDA) or RHIA/RHIT are typically required. Detail orientation, strong analytical skills, and effective communication are crucial soft skills for ensuring accuracy and collaborating remotely with healthcare teams. These skills and qualifications are vital for maintaining high-quality clinical data, supporting patient care initiatives, and meeting regulatory or research requirements.

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

AspectContract Remote Clinical Data AbstractorContract Remote Clinical Data Coordinator
CredentialsTypically requires clinical or data management certifications, such as CDISC or CDMOften requires similar certifications, with additional project management skills
Work EnvironmentRemote, focused on data abstraction from clinical recordsRemote, overseeing data collection and coordination activities
Employer & Industry UsageUsed by CROs, pharmaceutical companies, and research institutionsCommon in clinical research organizations and biotech firms
Search & Comparison IntentPeople compare to understand role scope and requirementsOften compared to clarify responsibilities and career progression

The Contract Remote Clinical Data Abstractor primarily focuses on extracting and reviewing clinical data from records, while the Contract Remote Clinical Data Coordinator manages data collection processes and oversees data quality. Both roles are remote and require similar certifications, but their responsibilities differ in scope and focus within the clinical research industry.

What are the most commonly searched types of Remote Clinical Data Abstractor jobs in Virginia?

The most popular types of Remote Clinical Data Abstractor jobs in Virginia are:

What are popular job titles related to Contract Remote Clinical Data Abstractor jobs in Virginia?

For Contract Remote Clinical Data Abstractor jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Contract Remote Clinical Data Abstractor jobs in Virginia look for?

The top searched job categories for Contract Remote Clinical Data Abstractor jobs in Virginia are:

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Cities in Virginia with the most Contract Remote Clinical Data Abstractor job openings:

Contract Remote Clinical Data Abstractor jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Norfolk, VA • Remote

$80 - $110/hr

Part-time

Posted 14 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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