2026 Health Applied Engineering Scholar, Digital Health

Lab Summary:

Samsung Research America Digital Health Team (https://www.sra.samsung.com/digital-health/) collaborates with top hospitals, healthcare-industry partners, and universities to transform how healthcare is delivered and good health sustained. 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 that detect and trigger alerts for specific health conditions. 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 portfolio of digital health 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 to join the Digital Health Team as a Health Applied Scholar / Engineer for a 12-month residency program,. This position is ideal for a Masters, PhD, or postdoctoral researcher/engineer passionate about applying cutting-edge machine learning techniques to health-related challenges and product building. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our ML/AI-driven health initiatives and building MVP products.

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.

Position Responsibilities:

• Design, build, and optimize machine learning models for recommendation systems
• Implement algorithms such as supervised learning, unsupervised learning, reinforcement learning, and deep learning for health applications
• Collect, clean, and preprocess large datasets for model training.   Develop robust algorithms to extract meaningful insights
• Debug and optimize models for better accuracy and efficiency using cloud based service (e.g. AWS)
• Collaborate with multidisciplinary teams to understand business requirements and translate them into technical solutions.  Work with SW Engineering team to validate and improve model accuracy
• Contribute to the development of novel ML algorithms to address complex healthcare challenges
• Actively engage in team discussions, fostering a collaborative and inclusive work environment

Required Skills:

• Currently pursuing PhD (near completion) or postdoctoral experience in Computer Science, Machine Learning, Data Science, or a related field
• Strong expertise in machine learning techniques, especially the algorithms related to recommendation systems (e.g. NCF, RNN, CNN, etc.
• Demonstrated ability to work collaboratively in multidisciplinary teams with strong problem-solving skills, attention to detail, and effective communication
• Required Technical Skills:
  • Proficiency in Python, R, or Java.
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Knowledge of data processing tools (e.g., Pandas, NumPy)
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure)