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Rn Data Abstraction Remote Jobs in Springfield, MA

micro1 AI

Clinical Pharmacy Technicians

Springfield, MA · 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 ...

micro1 AI

Pharmacovigilance Expert

Hartford, CT · 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 ...

Option Care

Chronic Practice Liaison

Hartford, CT · Remote

$66K - $88K/yr

Clinical experience or exposure (RN, LPN, Pharmacy Technician, etc.) * Experience managing complex ... market data. Pay Range is $55,769.70-$92,949.50 Benefits: -Medical, Dental, & Vision Insurance ...

Option Care

Chronic Practice Liaison

Hartford, CT · Remote

$66K - $88K/yr

Clinical experience or exposure (RN, LPN, Pharmacy Technician, etc.) * Experience managing complex ... market data. Pay Range is $55,769.70-$92,949.50 Benefits: -Medical, Dental, & Vision Insurance ...

Lantern

Strategy Analyst

Hartford, CT · Remote

Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

Lantern

Strategy Analyst

Springfield, MA · Remote

Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the ... This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties:

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See Springfield, MA salary details

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

As of Aug 9, 2026, the average hourly pay for rn data abstraction remote in Springfield, MA is $44.76, according to ZipRecruiter salary data. Most workers in this role earn between $34.23 and $53.17 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an RN Data Abstraction remote?

To thrive as an RN Data Abstraction Remote, you need an active RN license, strong clinical knowledge, and experience with medical record review or abstraction. Familiarity with electronic health record (EHR) systems, data abstraction software, and possibly certifications like Certified Clinical Data Abstractor (CCDA) are typical requirements. Exceptional attention to detail, time management, and the ability to work independently are vital soft skills for remote success. These skills and qualifications ensure accurate, consistent data collection that supports quality improvement and compliance in healthcare organizations.

What is the difference between Rn Data Abstraction Remote vs Medical Records Technician?

AspectRn Data Abstraction RemoteMedical Records Technician
CredentialsRN license, data abstraction trainingHigh school diploma, coding certification
Work EnvironmentRemote, healthcare facilities, hospitalsHealthcare offices, hospitals, clinics
Industry UsageHealthcare, medical data managementMedical record keeping, coding
Job FocusAbstracting patient data, ensuring accuracyOrganizing, coding, and managing medical records

While both roles involve working with medical data, Rn Data Abstraction Remote primarily requires an RN license and focuses on abstracting patient information remotely, often for quality or research purposes. Medical Records Technicians typically handle organizing and coding medical records on-site or in healthcare settings. The roles differ mainly in credentials, work environment, and specific job functions, but both are essential in healthcare data management.

What are the typical challenges faced by RNs working in remote data abstraction roles, and how can they be addressed?

RNs in remote data abstraction often encounter challenges such as interpreting incomplete medical records, managing large volumes of data within tight deadlines, and navigating different electronic health record (EHR) systems. To address these, it's important to develop strong attention to detail, maintain up-to-date knowledge of abstraction guidelines, and utilize effective time management strategies. Regular communication with team members and seeking clarification from clinical staff can also help ensure data accuracy and resolve ambiguities, making the remote workflow more efficient and collaborative.

What is an RN Data Abstraction remote job?

RN Data Abstraction remote jobs involve registered nurses (RNs) who work from home to review and extract clinical data from medical records for quality improvement, research, or regulatory reporting. These professionals analyze patient charts, ensure accurate and complete data collection, and enter information into databases according to specific guidelines. The work is typically project-based, requires attention to detail, and often supports hospital accreditation or performance measurement programs. Strong clinical knowledge, familiarity with electronic health records, and data entry skills are essential for this role.
What are popular job titles related to Rn Data Abstraction Remote jobs in Springfield, MA? For Rn Data Abstraction Remote jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Rn Data Abstraction Remote jobs in Springfield, MA look for? The top searched job categories for Rn Data Abstraction Remote jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Rn Data Abstraction Remote jobs? Cities near Springfield, MA with the most Rn Data Abstraction Remote job openings:
Rn Data Abstraction Remote jobs near you

Clinical Pharmacy Technicians

micro1 AI

Springfield, MA • Remote

$70 - $80/hr

Part-time

Posted 6 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.

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