Samsung Research America
2027 Health AI Scholar, Digital Health Algorithms Team
665 Clyde Avenue, Mountain View, CA, USA · Internship · Posted Oct 27, 2026
- Experience
- PhD student in their 3rd year or above, or postdoctoral researcher; digital health research experience is sought.
- Education
- PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
- Visa sponsorship
- Open to candidates legally authorized to work in the United States.
About the job
Conduct a 12-month digital health research residency developing AI methods and algorithms from physiological time-series and other health data.
What you'll do
- Design and optimize AI models, including self-supervised learning, and analyze large-scale time-series and tabular datasets.
- Build agentic frameworks to accelerate discovery of health biomarkers; train and fine-tune deep learning models using AWS AI services.
- Collaborate with multidisciplinary teams to translate AI research into healthcare solutions.
What they ask for
- PhD near completion or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
- Strong deep learning expertise, including self-supervised learning, transformer architectures, CNNs, or RNNs.
- Experience with time-series datasets, preferably in health-related domains, and proficiency developing and deploying models using AWS AI services, including SageMaker and Redshift.
- Peer-reviewed publications in top AI/health-related journals or conferences; programming ability in at least one listed language.
Pay
$62—$75 USD per hour (hourly pay rate)
Tools
AWS AI services, SageMaker, Redshift, Python, R, Android, C/C++, Java
AI focus
Develop AI/ML methods for digital health, including self-supervised and deep learning models, health biomarker discovery, and analysis of physiological data.
Model-written summary · the original posting is authoritative