2026 Health AI Scholar (Spring/Summer)
About The Position
We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.
Requirements
- PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
- Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
- Proven experience working with time-series datasets, preferably in health-related domains.
- Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
- A track record of peer-reviewed publications in top AI/health-related journals or conferences.
- Programming using languages such as Python, R, Android, C/C++, Java.
- Demonstrated ability to work collaboratively in multidisciplinary teams.
Responsibilities
- Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
- Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
- Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
- Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
- Contribute to the development of novel AI methodologies to address complex healthcare challenges.
- Actively engage in team discussions, fostering a collaborative and inclusive work environment.
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What This Job Offers
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
