Health AI Scholar, Digital Health Algorithms

Responsibilities

• Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications
• Work with large-scale time-series datasets to develop robust algorithms
• Collaborate with multidisciplinary teams to translate AI-driven insights into healthcare solutions
• Train and fine-tune deep learning models using AWS AI services
• Contribute to the development of novel AI methodologies for complex healthcare challenges

Requirements

• PhD (near completion) or postdoctoral experience in Computer Science, AI, ML, or Biomedical Engineering
• Strong expertise in deep learning (self-supervised learning, transformers, CNNs, RNNs)
• Proven experience with time-series datasets in health-related domains
• Proficiency in AWS AI services including SageMaker and Redshift
• Track record of peer-reviewed publications in top AI or health journals/conferences
• Programming proficiency in Python, R, Android, C/C++, or Java

About the Company

Samsung Research America Digital Health Algorithms Team collaborates with top universities and hospitals to develop novel AI/ML algorithms that transform healthcare delivery through wearable, mobile, and cloud-based technologies.