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Research Scientist (PhD's)
About Layer Health: Layer Health is a healthcare AI company spun out of MIT and backed by GV (Google Ventures), Define Ventures, Flare Capital Partners, General Catalyst, MultiCare Health System and Froedtert Health. We are solving the information problem in healthcare by building an AI layer that can accurately and scalably synthesize information from medical records. Our mission is to reduce friction everywhere in healthcare through our LLM-powered platform that solves chart review once and for all, across use cases.
We are looking for Research Scientists (PhD’s) to join our research team in Boston or NYC (hybrid). This role requires a PhD degree and involves conducting cutting-edge research in healthcare AI and machine learning to advance our platform capabilities.
Key Responsibilities:
- Conduct fundamental and applied research in healthcare AI and machine learning
- Develop novel algorithms and methodologies for processing healthcare data
- Collaborate with engineering and clinical teams to translate research into practical applications
- Publish research findings in top-tier conferences and journals
- Lead research projects from conception to publication
- Evaluate and validate research results through rigorous experimentation
- Contribute to the development of new AI models for healthcare applications
- Mentor research assistants and collaborate with academic partners
- Present research findings at conferences and industry events
- Stay current with developments in healthcare AI and related fields
- Contribute to grant proposals and research funding applications
Required Skills and Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field
- Strong background in machine learning, deep learning, or natural language processing
- Experience with healthcare data and medical records processing
- Demonstrated research experience with publications in top-tier venues
- Strong programming skills in Python and/or R
- Experience with statistical analysis and data modeling
- Excellent communication and presentation skills
- Ability to work independently and collaboratively in a research environment
- Strong analytical and problem-solving abilities
- Understanding of healthcare regulatory requirements and compliance
- Experience with healthcare data standards and regulations is a plus
- Ability to translate research findings into practical applications
- Strong written and verbal communication skills
What You’ll Bring:
- Doctoral degree in relevant technical field
- Strong research background with peer-reviewed publications
- Expertise in healthcare AI and machine learning methodologies
- Experience working with large-scale healthcare datasets
- Ability to bridge research and practical implementation
- Strong analytical and critical thinking skills
- Passion for advancing healthcare through AI research
- Experience in academic or industrial research environments
- Commitment to ethical AI development and deployment
- Ability to work effectively in cross-functional teams
Compensation: The estimated pay range for this role is $160,000 - $220,000 annually, with competitive equity options. The position offers comprehensive benefits including unlimited PTO, medical, dental, and vision coverage, disability insurance, and retirement plans.
Work Environment: This is a hybrid role with work locations in Boston or NYC offices (2-3 days per week in-office). The research team values innovation, collaboration, and making a meaningful impact in healthcare through cutting-edge research. We operate with a culture that encourages curiosity, experimentation, and breakthrough discoveries.
Join us in pushing the boundaries of what’s possible in healthcare AI research. Our mission is to transform how healthcare data is processed and utilized to improve patient outcomes and reduce healthcare friction.