Health AI Scholar — 12-Month Digital Health Algorithms Residency

samsungresearchamericainternship; Mountain View (CA); Sur place; USD 85 000 - 103 000; Plein temps

Résumé du poste

Samsung Research America invites applications for a Health AI Scholar in a 12-month residency starting January 2027. This position is ideal for a PhD student in their 3rd year or above, or a postdoctoral researcher with digital health experience in multi-modal physiological timeseries.

Join the Digital Health Algorithms Team to design and deploy AI models on large health datasets using AWS SageMaker, collaborate across disciplines, and pursue cutting-edge health AI research that advances

Qualifications

• PhD near completion or postdoctoral research in AI/ML or related field.
• Strong expertise in deep learning (transformers, CNNs, RNNs).
• Experience with time-series data in health-related domains.
• Proficiency with AWS AI services (SageMaker, Redshift).
• Peer-reviewed publications in AI/health journals or conferences.
• Proficient in Python; other languages listed.
• Collaborative, multidisciplinary teamwork ability.

Responsabilités

• Design, implement, and optimize advanced AI models for health applications.
• Work with large-scale time-series and tabular data; extract insights.
• Build agentic frameworks to accelerate discovery of health biomarkers.
• Collaborate with multidisciplinary teams to translate insights into solutions.
• Train and fine-tune models using AWS services; ensure scalability.
• Develop novel AI methodologies to address health challenges.
• Engage in team discussions and foster inclusive environment.

Connaissances

PhD/postdoc

Deep learning

Time-series data

AWS SageMaker/Redshift

Publications in AI/health

Programming: Python/R/Java/C/C++/And

Team collaboration

Formation

PhD near completion or postdoc

Outils

AWS SageMaker

Redshift

Description du poste

Samsung Research America invites applications for a Health AI Scholar in a 12-month residency starting January 2027. This position is ideal for a PhD student in their 3rd year or above, or a postdoctoral researcher with digital health experience in multi-modal physiological timeseries.

Join the Digital Health Algorithms Team to design and deploy AI models on large health datasets using AWS SageMaker, collaborate across disciplines, and pursue cutting-edge health AI research that advances