openleverbiocom
Clinical Data Abstractor III 2.11.26
N-Power Medicine
LocationRemote
WorkplaceRemote
EmploymentRemote
Posted1770845874152
Last observed2026-06-13 05:24:06.434544
Job idbiocom-n-power-medicine:lever:d442fc78-56d2-4515-ad06-7a431b6020f9
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. 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 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 Clinical Science 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 -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 Data Specialist (ODS) certification preferred -Oncology/Hematology RN/LPN, or Clinical Research Associate (CRA), or certified in an NCRA Accredited Program or comparable professional experience, preferred -Experience in both solid tumor and hematologic malignancy abstraction -Familiarity with genomic testing in cancer, preferred -Experience with OncoEMR and/or EPIC, preferred -Ability to navigate electronic health records (EHRs) and follow proprietary guidance documents to curate a comprehensive data set including, but not limited to, the history, diagnosis, treatment, and disease status for cancer pa
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