Health AI Scholar Intern - Digital Health Algorithms Team

Samsung Research America; Mountain View (CA); On-site; USD 85,000 - 103,000; Full time

Benefits offered by this job

Annual bonus eligibility

Generous benefits

Job summary

Samsung Research America’s Digital Health Algorithms Team seeks a Health AI Scholar for a 12-month residency starting January 2027. Ideal for a PhD student in 3rd year or above, or a postdoc with health AI research in multi-modal time-series areas.

You will join a diverse team applying cutting-edge AI to health challenges. Work includes designing AI models, handling large-scale data, and leveraging AWS services for scalable health analytics and biomarkers discovery.

Qualifications

• PhD near completion or postdoctoral experience in CS, AI, ML, or related.
• Strong expertise in deep learning techniques and time-series data.
• Experience deploying models with AWS AI services (SageMaker/Redshift).
• Publication track record in AI/health fields.
• Proficient in Python, R, Java, Android, C/C++.
• Collaborative, multidisciplinary teamwork.

Responsibilities

• Design and optimize advanced AI models for health.
• Work with large-scale time-series and tabular data to extract insights.
• Build frameworks for discovering health biomarkers.
• Collaborate with cross-functional teams to translate insights into health solutions.
• Train and fine-tune models using AWS services for scalable deployment.
• Contribute to new AI methodologies for healthcare challenges.
• Engage actively in team discussions and inclusive culture.

Skills

Deep learning

Time-series

Python

R

Java

Android

C/C++

Team collaboration

Publications

Education

PhD near completion

Postdoctoral experience

CS/BioMed Eng focus

Tools

AWS SageMaker

Redshift

Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare’s toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access.

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives.Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

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 12-month residency program.This position is ideal for a PhDstudent in their 3rdyear or above 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.

We are looking for a Health AI Scholar to start in January 2027.

Position Responsibilities:

• Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
• Work with large-scale time-series and tabular datasets, developing robust algorithms to extract meaningful insights.
• Build agentic frameworks for accelerating discovery of new health biomarkers.
• 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.

Required Skills:

• 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.

Our total rewards programs are designed to motivate and engage exceptional talent. The hourly pay rate range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the hourly pay rate range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.

Hourly Pay Rate Range $62—$75 USD

Additional Information

Disclosure of Trade Secrets

Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a current or previous employer.

Essential Job Functions

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.

Samsung Research America is committed to complying with all Federal, State and local laws related to the employment of qualified individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the recruiter or email [e-mail].

Equal Employment Opportunity

At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

Samsung Research America is committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

For more information regarding protection from discrimination under Federal law for applicants and employees, please refer to this link: Pay Transparency