ashby
Clinical Data Abstractor
Citizen Health
Remote, USA
Full-time
Mid · 2+ years experience
Remote
USD 80000-100000 yearly / year
Discovered 1 weeks ago
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Who We Are
Citizen Health was founded on the belief - shaped by firsthand lived experiences navigating healthcare - that having the right advocate is the single most important factor in achieving better care and outcomes. By uniquely combining data, AI, and community, Citizen is building a personalized AI advocate powered by patients' complete medical histories and data from thousands of other patients to generate personalized insights for clinical decisions and day-to-day challenges. Starting in rare and complex conditions, patients share their data in exchange for value, enabling biopharma and researchers with seamless access to patients and regulatory-grade data, shaving years off drug development for much-needed treatments.
Citizen is founded by experienced entrepreneurs with multiple successes under their belts and is funded by top-tier investors including 8VC, Transformation Capital, and Headline Ventures, among others. We are a mission-driven team excited to be building the future of consumer healthcare.
The Role
As a Clinical Data Abstractor, you will leverage your clinical expertise to transform complex patient medical records into valuable longitudinal data that drives our rare disease research forward. You'll work closely with our clinical teams to ensure the highest quality abstraction of patient information while developing mastery of our disease models, ontology, and proprietary systems. This role is perfect for someone who thrives on working with complex clinical information and is passionate about making an outsized impact in rare disease.
Responsibilities
- Abstract and review relevant longitudinal information from patient medical records with exceptional accuracy and efficiency, maintaining the highest quality standards.
- Develop deep expertise in our proprietary disease model, ontology, and internal annotation tools to maximize productivity and data quality.
- Support quality assurance initiatives, pilot annotation projects, and guidance and training material development to continuously improve our processes and team capabilities.
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