Live opening · Posted 6 days ago

Clinical Data Abstractor III

N-Power Medicine · Remote
Lever Yes Remote
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyN-Power Medicine
LocationRemote
Job typeRemote
Work modeYes
SourceLever
Listed6 days ago

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About the role

Description supplied by the original job listing.

About N-Power Medicine
N-Power Medicine aims to establish a new paradigm in drug development by reinventing the ‘how’ and transforming clinical trials through better integration with clinical practice, ensuring broader participation by physicians and patients. We are building an exceptional multi-disciplinary team with diverse expertise spanning healthcare, engineering, technology and regulatory, and with people who share our core value of Empowering Community through generosity, curiosity and humility. We are working with urgency to bring better therapies to patients faster.
Position Overview
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.
This position is remote within the United States.
Role Objectives and Responsibilities
Retrieve, abstract and curate high quality oncology data sets from various EHR platforms into a proprietary NPM or 3rd 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 data set including, but not limited to, patient history, diagnosis, treatment regimens, disease progression and genomic testing results according to proprietary abstraction guidelines
Participate in the 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
Education, Experience, Behavioral Competencies, & Skills
3+ years of relevant experience with oncology data abstraction/curation from health information systems utilizing industry standard data ontologies
Bachelor’s degree preferred.
Oncology/Hematology RN/LPN, or Clinical Research Associate (CRA), or certified in an NCRA Accredited Program or comparable professional experience, preferred

Employment type
Remote

Work arrangement
Yes

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