What are the responsibilities and job description for the Nurse Abstractor position at Layer Health?
About us
Layer Health is an AI startup recently spun out of MIT CSAIL, revolutionizing clinical documentation by leveraging the power of large language models. Having deployed our technology in real-world health systems, we've witnessed how the difficulty of accurately and efficiently extracting information from clinical notes affects all aspects of healthcare. We are building an AI layer that will radically speed up and improve the quality of extracting and synthesizing information from medical records, with the mission to reduce friction everywhere in healthcare, power the future of precision medicine, and ultimately improve patient outcomes. Our diverse founding team brings expertise across machine learning, large language models, medicine, and human-computer interaction.
We're seeking an exceptional nurse who is interested in working at the forefront of Artificial Intelligence and Machine Learning, as a part-time employee.
Job Description
We're looking for a nurse familiar with healthcare data and terminology, who will work as a part-time employee, to help annotate and label medical notes to evaluate our large language model algorithms.
You can expect to :
- Annotate medical notes, given specific guidelines, under the supervision of a board-certified physician
- Review and annotate machine learning outputs
- Work with a world class engineering team to pioneer the next generation of machine learning models to directly impact clinical care
- Gain an appreciation for the opportunities and current limitations of machine learning
We look for candidates who are / have :
Commitment & Compensation :
Layer Health is committed to foster an environment of inclusion that is free from discrimination. We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.
