Clinical Data Abstractor III

N-Power Medicine is hiring a Clinical Data Abstractor III. In this position, you will curate high-quality oncology datasets from various EHR platforms into proprietary or third-party EDC systems while ensuring compliance with NPM policies, SOPs, and GCP standards.

This includes abstracting comprehensive clinical information such as patient history, diagnosis, treatments, disease progression, and genomic results according to proprietary guidelines. You will contribute to continuous process improvement by offering feedback on workflows, tools, and user experience, and collaborate with quality management and biostatistics to resolve data issues.

You will also contribute to pre-screening efforts and the development of our platform by collaborating with our data and software teams to accelerate and innovate our platform and the collection of quality, regulatory-grade clinical data.

You’ll join a dynamic and collaborative Clinical Abstraction team, where your work will directly contribute to advancing clinical research and improving patient outcomes. This is a unique opportunity to grow professionally within a fast-paced, mission-driven startup. The team works closely with quantitative science and data development to define key data elements and abstract unstructured data from multiple EHR sources, and partners with Software Engineering to optimize the data collection experience through intuitive and efficient UI/UX design.

Role Objectives and Responsibilities:

• Retrieve, abstract, and curate high-quality oncology datasets from various EHR platforms into a proprietary NPM or third-party electronic data capture (EDC) system.
• Conduct pre-screening chart reviews via EHR/EMR systems and clinical sources to assess patient eligibility against protocol criteria.
• Maintain pre-screening logs and dashboards to document eligibility status.
• Ensure compliance and confidentiality with NPM and Network Site policies, standard operating procedures (SOPs), and Good Clinical Practice (GCP).
• Curate a comprehensive dataset including patient history, diagnosis, treatment regimens, disease progression, and genomic testing results according to proprietary abstraction guidelines.
• Participate in continual improvement of processes by providing feedback and recommendations pertaining to abstraction workflows, user experience, educational resources, features, and tools.
• Provide input into process checks and interface with quality management and biostatistics to resolve data issues.
• Availability during core business hours with flexibility to attend weekly team and company meetings as required.
• 90-100% of effort dedicated to abstraction depending on business need.
• Perform other duties as assigned to support team and company goals.