Layer Health is an AI startup spun out of MIT. We leverage LLMs to vastly improve the value and impact that can be unlocked from medical record data – building the “AI layer” for healthcare.
We know that all organizations in the healthcare ecosystem struggle to extract and synthesize insights from medical records at scale. Our AI layer radically speeds up and improves the quality of information gleaned from these records to power a wide range of impactful use cases– from research to quality measurement to clinical care pathways. Our team consists of world-class experts across machine learning, LLMs, medicine, engineering, and commercial execution. We are a Series A company headquartered in Boston, with offices in both Boston and NYC.
We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.
We’re hiring an exceptional data scientist to join our team (Boston or NYC office). In this role, you will be responsible for advancing our applied ML and data science capabilities for healthcare.
Join us and help us transform healthcare with AI. 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.
Expected compensation range for this role is $135,000-190,000 for Boston and NYC-based candidates; range may vary for candidates outside of the Boston/NYC metro area. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made.
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