AI Research Intern

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Curai Health

Curai Health is a company that provides comprehensive virtual primary care solutions integrating artificial intelligence with medical professionals' expertise. The company aims to expand access to cost-effective primary care through AI-assisted technology, promoting better patient outcomes and increased healthcare equity while reducing operational costs. Curai Health supports health plans, health systems, and third-party administrators by embedding AI-enhanced software and care teams to optimize care delivery and patient management. Their platform facilitates personalized primary care, urgent care, prescription and lab ordering, condition management, network navigation, and clinical workflow integrations, all aiming to enhance patient experience and healthcare reach. Curai Health is committed to using AI substantively to improve healthcare efficiency and effectiveness, setting it apart as a partner for organizations aiming to enhance their virtual care capabilities.

Artificial Intelligence β€’ eHealth β€’ Machine Learning β€’ Primary Care

51 - 200 employees

πŸ€– Artificial Intelligence

βš•οΈ Healthcare Insurance

πŸ’° $27.5M Series B on 2020-12

πŸ“‹ Description

β€’ Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale. β€’ Our company is remote-first and we consider candidates across the United States. β€’ We are seeking an AI research intern to join our AI team. β€’ Our research interns are mentored 1:1 by experienced researchers on solving real problems using real data. β€’ This internship will provide you with a wealth of learning opportunities. β€’ Advance the state-of-the-art in machine learning applied to primary healthcare with research, often, leading to publication in a top-tier conference.

🎯 Requirements

β€’ PhD or second year Masters (by research) candidate in machine learning or related fields. β€’ Publications at top-tier conferences. β€’ Experience in machine learning frameworks PyTorch and/or TensorFlow. β€’ Exposure to applications of ML/NLP in healthcare is valued but not required.

πŸ–οΈ Benefits

β€’ Paid internship β€’ flexible working hours β€’ remote working options

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