Research Scientist

Layer Health is an AI startup 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 team brings expertise across machine learning, large language models, medicine, and human-computer interaction.

We’re seeking outstanding hires to join our seed-stage company as early members. Together, we will create the AI layer that will redefine healthcare for the better.

Job Description

We’re hiring an exceptional research scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.

You can expect to:

• Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).
• Propose new methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels  
• Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. 
• Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.
• Collaborate with the broader engineering team to ship performant products that meet user needs.
• Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.

We look for:

• Exceptional methodological research background and experience, including but not limited to:
• A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.
• High-impact, early-author publications at top peer-reviewed ML journals/conferences.
• Demonstrated record of delivering real-world impact from start to finish– with the ability to design, develop, and ship innovations.
• Strong programming skills and fluency with modern machine learning stacks (deep learning libraries e.g. PyTorch, Jax).
• Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).
• 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. 
• Past experience in healthcare of life sciences is a plus, but not required.
• We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).

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.