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Data scientist Jobs in Lynn, MA
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Data Scientist
Layer HealthBoston, MA, United States- Promoted
Data Scientist
Zelis Healthcare, LLCBoston, MA, United States- Promoted
Data Scientist
CiviTronixBoston, MA, US- Promoted
Data Scientist
Harvard UniversityBoston, MA, United States- Promoted
Data Scientist
Berkshire Residential InvestmentsBoston, MA, United States- Promoted
Data Scientist
OutlierBoston, MA- Promoted
Data Scientist
Tagup IncBoston, MA, United States- Promoted
Senior Data Scientist
KarkidiBoston, MA, United States- Promoted
Data Scientist
ActalentCambridge, MA, United States- Promoted
Data Scientist
CiscoBoston, MA, United States- Promoted
Data Scientist
TagupBoston, MA, United States- Promoted
Data Scientist II
VectraBoston, MA, United States- Promoted
Data Scientist
MagniteBoston, MA, United States- Promoted
Data Scientist
SPECTRAFORCEBoston, MA, United States- Promoted
Data Scientist
VerizonBoston, MA, United States- Promoted
Data Scientist
Tbwa Chiat / Day IncBoston, MA, United States- Promoted
Data Scientist
Futran Tech Solutions Pvt. Ltd.Cambridge, MA, United States- Promoted
Data Scientist
ZipRecruiterBoston, MA, United States- Promoted
Data Scientist
Manulife and John HancockBoston, MA, United States- Promoted
Data Scientist
Rubicon ProjectBoston, MA, United StatesData Scientist
Layer HealthBoston, MA, United StatesAbout us
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.
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.
Job Description
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.
You can expect to :
- Develop, validate, and measure the impact of large language model (LLM) and other ML-based approaches for chart abstraction from both unstructured and structured healthcare data.
- Apply and rigorously evaluate cutting-edge methods to solve real clinical problems.
- Work hand-in-hand with our customers to best leverage Layer Health's platform and supercharge their workflows.
- Stay up-to-date on the latest in applied NLP and generative AI techniques and proactively explore these technologies where applicable.
- Establish and enforce best practices for data science and analytics.
- Cultivate and foster a robust and thoughtful data science and product culture that drives the company forward.
We look for :
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.