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Remote Rn Data Abstractor Jobs in Sellersville, PA

DaVita

Director, Clinical Services

Bowers, PA · On-site +1

Data collection and reporting as requested * Monitor and report on AOR investigation process within ... Active RN License: Current Registered Nurse (RN) license in good standing. * Education: Bachelor of ...

BillionToOne

Oncology Account Executive

Philadelphia, PA · Remote

$241K - $311K/yr

Physicians Assistant (PA), Nurse Practitioner (NP) or Registered Nurse (RN) with experience ... LI-Remote For more information about how we protect your information, we encourage you to review ...

BillionToOne

Oncology Account Executive

Philadelphia, PA · Remote

$241K - $311K/yr

Physicians Assistant (PA), Nurse Practitioner (NP) or Registered Nurse (RN) with experience ... LI-Remote For more information about how we protect your information, we encourage you to review ...

Masimo

Clinical Sales Specialist II

Philadelphia, PA · On-site +1

$85K - $120K/yr

... data. • Works with Masimo Account Manager to develop and execute a strategy to support the ... Registered Respiratory Therapist or Registered Nurse preferred. Compensation: The anticipated ...

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See Sellersville, PA salary details

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

As of Aug 20, 2026, the average hourly pay for remote rn data abstractor in Sellersville, PA is $40.93, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $48.46 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.

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

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Remote Rn Data Abstractor jobs near you
Infographic showing various Remote Rn Data Abstractor job openings in Sellersville, PA as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $85,136 per year, or $40.9 per hour.

Pharmacovigilance Expert - Remote

YO AI Labs

Philadelphia, PA • Remote

$70 - $80/hr

Full-time

Posted 9 days ago

Job description

Job Title: Pharmacovigilance Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Pharmacovigilance Experts to contribute their drug safety expertise to an innovative healthcare AI project. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining pharmacovigilance documentation, safety reports, and regulatory content. No prior AI experience is required—your pharmacovigilance expertise, analytical skills, and commitment to data quality are what matter most.

Key Responsibilities

  • Author and review evaluation tasks based on DSURs, PSURs/PBRERs, safety data, and case-level records.

  • Assess safety findings, signal evaluations, and benefit-risk conclusions for accuracy and regulatory alignment.

  • Review reports for compliance with ICH E2F, ICH E2C(R2), and GVP guidelines.

  • Analyze aggregate safety data and reconcile case counts, figures, and inconsistencies across data sources.

  • Evaluate safety conclusions based on new data, events, and regulatory requirements.

  • Provide structured written feedback and rationales to support AI-driven pharmacovigilance tools.

  • Ensure accuracy, completeness, and quality of regulatory safety documentation.

Required Skills

  • Pharmacovigilance

  • Drug Safety Report Authoring

  • DSUR/PSUR/PBRER Review

  • ICH E2F & ICH E2C(R2) Compliance

  • GVP Guidelines

  • Aggregate Safety Data Analysis

  • Signal Management

  • Benefit-Risk Assessment

  • MedDRA Coding

  • Seriousness & Causality Assessment

  • Expectedness Determination

  • Data Reconciliation

  • Regulatory Documentation

  • Structured Written Communication

  • Attention to Detail

Preferred Qualifications

  • 5+ years of pharmacovigilance or drug safety experience within a sponsor, CRO, or consulting environment.

  • Proven experience authoring or reviewing DSURs and/or PSURs/PBRERs.

  • Strong knowledge of ICH E2F, ICH E2C(R2), and GVP guidelines.

  • Hands-on experience with signal management, benefit-risk assessment, MedDRA coding, and safety data analysis.

  • Experience reconciling aggregate safety data with case-level information.

  • Advanced degree in life sciences, pharmacy, nursing, medicine, or related fields (PharmD, MD, MSc, or equivalent).

  • Experience in clinical development safety, post-marketing surveillance, QPPV/deputy QPPV roles, safety committees, or AI-assisted safety review tools is a plus.