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Role Description

We’re building a team of clinical abstractors for our CathPCI work. This is a remote (US only) part time (~15 hours per week) contractor opportunity.

• Assist with case abstraction under the direction of a Team Leader
• Complete assigned abstractions in a timely manner
• As a start up organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!

Qualifications

• 1+ years abstraction within the CathPCI Registry (this is a 100% requirement)
• Exposure to multiple patient medical record systems (EMRs) and clinical databases
• Ability to thrive in a fast and ever-changing environment

Requirements

• Expected compensation range for this role is $28-35/hour
• This is a part time contractor role for ~15 hours per week
• Compensation is dependent on experience, overall fit to our role, and candidate location
• If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role

Benefits

• We encourage you to apply even if you don't feel that you meet every single requirement
• We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo

Company Description

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.