Layer Health

United States
33 Total Employees
Year Founded: 2023

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Design, build, and maintain secure and scalable infrastructure for critical healthcare applications, lead incident responses, and support engineering teams.
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Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.
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As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.
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As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.
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Develop and maintain scalable ML infrastructure, collaborate with teams, and implement production ML systems while ensuring efficiency and reliability.
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As a Senior Fullstack Engineer, you'll develop and maintain scalable APIs and web applications, engage with customers to meet their needs, and collaborate on product features to improve Layer Health's applications.
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Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.
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Lead the design and implementation of backend systems and data infrastructure, focusing on scalability and integrations with customer databases while cultivating an engineering culture.
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Design and implement scalable data pipelines for healthcare data, partner with ML teams for data usability, and document data effectively.
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As Implementation Project Manager, you'll oversee onboarding for new healthcare customers, manage integrations, coordinate with IT teams, and improve implementation processes.
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As a Forward Deploy Data Scientist, you will collaborate with health systems to analyze healthcare data, build machine learning pipelines, deploy ML models, and improve clinical workflows through actionable insights.
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Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.
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Design and develop scalable backend services and APIs, support infrastructure improvements, and collaborate on system reliability and monitoring.