Remote Oncology Data Abstractor III — Drive Clinical Insights

N-Power Medicine, Inc.; United States; On-site; USD 39,000 - 47,000; Full time

Benefits offered by this job

Equity at hire

Discretionary annual bonus

Company benefits

Job summary

N-Power Medicine is hiring a Clinical Data Abstractor III to curate high-quality oncology datasets from multiple EHR platforms into EDC systems, ensuring compliance with SOPs and GCP standards. You will handle patient history, diagnoses, treatments, disease progression and genomic results, while contributing to platform development with cross-functional teams.

The role involves pre-screening, data quality checks, and collaboration with data, software, and QA teams.

Qualifications

• 3+ years of oncology data abstraction/curation from health information systems using standard data ontologies.
• Bachelor’s degree preferred.
• Oncology/Hematology RN/LPN, CRA, or comparable experience preferred.
• Experience with solid tumor and hematologic malignancy abstraction.
• Familiarity with oncological trial eligibility criteria and protocol review.
• HIPAA and FDA-regulated trial requirements preferred.

Responsibilities

• Retrieve and abstract high-quality oncology data from various EHR platforms into NPM or 3rd party EDC systems.
• Conduct pre-screening chart reviews to assess patient eligibility.
• Maintain pre-screening logs and dashboards documenting eligibility status.
• Ensure compliance with SOPs, GCP, and confidentiality policies.
• Contribute to process improvements for abstraction workflows and user experience.
• Collaborate with quality management and biostatistics to resolve data issues.

Skills

Attention to detail

Oral/written communication

HIPAA knowledge

Self-starter

Team collaboration

Education

Bachelor’s degree preferred

Tools

Epic

Cerner

OncoEMR

IKnowMed

Job description

N-Power Medicine is hiring a Clinical Data Abstractor III to curate high-quality oncology datasets from multiple EHR platforms into EDC systems, ensuring compliance with SOPs and GCP standards. You will handle patient history, diagnoses, treatments, disease progression and genomic results, while contributing to platform development with cross-functional teams.

The role involves pre-screening, data quality checks, and collaboration with data, software, and QA teams.