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Tech Stack
Tools & technologiesETL
About the role
Key responsibilities & impact- Review, interpret, and abstract clinical patient data from EHR systems, paper charts, and other source documents
- Apply medical coding systems including ICD-10, MedDRA, CPT, and HCPCS to classify clinical data into standardized machine-readable data
- Use REDCap, registries, and custom EDC systems to enter, track, and maintain clinical data
- Support cross-functional teams in translating clinical and data abstraction requirements
- Support prompt engineering and design for AI and LLM initiatives
- Apply clinical data management and good clinical practice during abstraction and encoding for end-to-end ETL workflows
- Perform quality assurance using technical and analytical software, macros, Excel/Google Sheets functions, formulas, and pivot tables
- Conduct peer reviews to ensure quality and productivity expectations are met
- Adhere to project protocols, IRB requirements, HIPAA regulations, data management best practices, and patient privacy policies
- Help develop and refine abstraction and quality guidelines, tools, and standard operating procedures
- Provide timely daily, weekly, or monthly abstraction submissions and productivity reporting
- Participate in team meetings and workshops
- Maintain relevant clinical or technical licenses
- Perform other assigned duties
Requirements
What you’ll need- U.S.-licensed Nurse, PA-C, NP, or DNP required
- Master’s degree in health sciences required
- Strong understanding of medical terminology, disease processes (especially cancer), standard clinical workflows, and genetic testing
- Minimum of 4–5 years of experience in clinical data abstraction and medical records review
- Proven ability to read, interpret, and abstract complex clinical information from electronic and paper medical records
- Direct experience with clinical data encoding using ICD-10-CM and SNOMED CT
- Direct experience with data mapping, standardization, and harmonization
- Commitment to data integrity, quality control, HIPAA, and other data privacy regulations
- Proficiency with Microsoft Office Suite or Google Suite, pivot tables, reporting, data analysis, and clinical data systems or databases
- CCDM, CCRP, ACR-P, or CRA preferred
- Excellent written and verbal communication skills
- Ability to work independently, manage time, prioritize and organize tasks, and meet productivity and quality deadlines
- High initiative and self-motivation
- Ability to work as part of a team on high-visibility projects
- Strong attention to detail and ability to learn quickly
- Ability to respond to shifting priorities and changes
Benefits
Comp & perks- Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
- Free testing for employees and their immediate families
- Fertility care benefits
- Pregnancy and baby bonding leave
- 401(k) benefits
- Commuter benefits
- Employee referral program