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Remote Rn Data Abstractor Jobs in Salem, OR (NOW HIRING)

Pharmacovigilance Expert

Salem, OR · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Practice Liaison, Chronic Therapies

Salem, OR · Remote

$65K - $87K/yr

Clinical experience or exposure (RN, LPN, Pharmacy Technician, etc.) * Experience managing complex ... market data. Pay Range is $53,339.06-$88,898.44 Benefits: -Medical, Dental, & Vision Insurance ...

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Remote Rn Data Abstractor information

See Salem, OR salary details

$7

$42

$72

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

As of Aug 21, 2026, the average hourly pay for remote rn data abstractor in Salem, OR is $42.46, according to ZipRecruiter salary data. Most workers in this role earn between $31.63 and $50.24 per hour, depending on experience, location, and employer.

What is a Remote RN Data Abstractor?

A Remote RN Data Abstractor is a registered nurse who reviews and extracts clinical data from medical records for quality improvement, compliance, and research purposes. They work remotely, analyzing patient charts to ensure accuracy and adherence to healthcare guidelines. This role often requires experience with electronic health records (EHRs), attention to detail, and knowledge of medical coding and terminology. It is commonly used for quality reporting, accreditation, or clinical registry submissions.

What are the typical daily responsibilities of a Remote RN Data Abstractor?

As a Remote RN Data Abstractor, your daily responsibilities generally include reviewing electronic health records and extracting key clinical data according to specific project or regulatory guidelines. You'll input this information into secure databases, ensure accuracy, and follow up to clarify any ambiguous or incomplete documentation with healthcare providers. While you may work independently, periodic virtual meetings and collaboration with clinical quality teams or project managers are common. Staying organized and up-to-date with changing guidelines is also a key part of the role, making attention to detail and self-motivation particularly important.

What are the key skills and qualifications needed to thrive as a Remote RN Data Abstractor?

To excel as a Remote RN Data Abstractor, you need a current RN license, strong clinical knowledge, and experience with medical record review and data abstraction. Familiarity with electronic health records (EHRs), medical coding systems such as ICD-10, and clinical quality measures is highly beneficial. Strong attention to detail, time management, and effective written communication are crucial soft skills in this remote position. These competencies ensure accurate and efficient data collection, support compliance with regulatory standards, and enable seamless collaboration across distributed healthcare teams.

What are the most commonly searched types of Rn Data Abstractor jobs in Salem, OR?

The most popular types of Rn Data Abstractor jobs in Salem, OR are:

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For Remote Rn Data Abstractor jobs in Salem, OR, the most frequently searched job titles are:

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The top searched job categories for Remote Rn Data Abstractor jobs in Salem, OR are:

What cities near Salem, OR are hiring for Remote Rn Data Abstractor jobs?

Cities near Salem, OR with the most Remote Rn Data Abstractor job openings:

Infographic showing various Remote Rn Data Abstractor job openings in Salem, OR as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $88,310 per year, or $42.5 per hour.

Pharmacovigilance Expert

micro1 AI

Salem, OR • Remote

$70 - $80/hr

Part-time

Posted 17 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer 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. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.