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NEXTMOVEFDE careers · United States

Data Scientist

AI summary of the role

Layer Health is hiring a data scientist to advance applied ML and data science for healthcare, focusing on LLM-based chart abstraction from medical records.

What you’ll do

  • Develop, validate, and measure the impact of LLM and other ML-based approaches for chart abstraction from unstructured and structured healthcare data.
  • Apply and rigorously evaluate cutting-edge methods to solve real clinical problems.
  • Work hand-in-hand with customers to 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.

What you’ll bring

  • 5-7+ years of professional experience as a data scientist at a company with major ML dependencies.
  • At least 3-4 years of healthcare / clinical applications experience.
  • Fluent programming skills in Python and fluency with modern data science and ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.).
  • Deep fluency in data manipulation, treatment, and evaluation, with ability to wrangle large, complex datasets.

Technologies

LLM · NLP · PyTorch · TensorFlow · HuggingFace · Python · generative AI · chart abstraction · healthcare data

About Layer Health

LLM chart-review platform for health systems and life-sciences teams, extracting reliable evidence from longitudinal medical records for registries, quality, research, and pathways.

Series A · 10–50 people

Source and classification

Internal deployment & tooling · Evidence for this classification:

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: 5-7+ years of
More from the job 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. Here’s a collection of articles about our product, mission, recent funding round, etc. 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 He [... source excerpt omitted ...] sing these techniques is a bonus). Proactive mindset to identify and solve problems, continuously improving our data science capabilities. A strong communicator who thrives in a customer-focused, fast-paced environment. An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. We are a Boston-based company, and expect engineers to meet regularly in-person in Boston (engineers from Boston, NYC, or east coast are welcome). Expected compensation range for this role is $180,000 - 200,000. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this ro [... source excerpt omitted ...] 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.

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