Research Intern, Digital Health

Job Description

Lab Summary

Samsung Research America Digital Health Team 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 well as 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 student to join in Fall 2024 (October-December) with a solid ML/AI technology background and digital health-related research project experiences in health data analytics, physiological signal processing, and multi-modality mobile sensing development. By leveraging smartphones, wearables, and hearables in the health/wellness domain, your work will significantly benefit real-world consumers, patients, the elderly, physicians, and caregivers.

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.

Responsibilities

• Work with an experienced biomarker research team to develop novel and disruptive algorithms towards digital health services and solutions.

Requirements

• Student currently pursuing a PhD degree in computer science, electrical engineering, biomedical engineering, or related areas.
• Solid coding skills with prototyping experience in data science and machine learning.
• Experience in signal processing, time-series data analytics, digital health domain.
• Programming using languages such as Python, R, C/C++, Java, Android.
• Strong knowledge in data analysis/processing software such as Matlab.
• Experience with cloud infrastructure services like AWS.
• Good communication/presentation skills and teamwork spirit.
• Experience with biosignal analysis is a plus.

Additional Information

• Be careful not to disclose information related to the trade secrets of your previous or current employer(s).

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.

Affirmative Action / Equal Opportunity

Samsung Research America is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, or status as a protected veteran.