Samsung Research America

2025 Health AI Scholar, Digital Health

Mountain View, California, United States

Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Digital Health, Healthcare Technology, Artificial Intelligence, BiotechnologyIndustries

Requirements

Candidates must have a PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field. A strong educational background or expertise in data science, machine learning, and generative AI is required, along with an excellent understanding of human physiology across health and wellness. Applicants should have a track record of peer-reviewed publications in health technology, demonstrated ability to work collaboratively in multidisciplinary teams, and excellent written and oral communication skills. Enthusiasm for fitness-related digital health products is also a requirement.

Responsibilities

The Health AI Scholar will support the development of advanced generative AI applications for health and wellness indications. They will collaborate with multidisciplinary teams to translate AI-driven insights into impactful solutions, review peer-reviewed literature and internal research data for product development, and work closely with the generative AI team to build, evaluate, and revise generative AI models. Additionally, the scholar will contribute to the development of novel AI methodologies for healthcare challenges and actively engage in team discussions to foster a collaborative environment.

Skills

Artificial Intelligence
Machine Learning
Data Analytics
Wearable Technology
Mobile Technology
Cloud Computing
Algorithm Development
Remote Patient Monitoring
Health Data Analysis
Design Thinking

Samsung Research America

Develops advanced technology in multiple domains

About Samsung Research America

Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.

665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees

Benefits

Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs

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