USD 44-63/yr

2026 Fall Intern, Digital Health Algorithms

United StatesUnited States·Mountain Viewentry
OtherDigital
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Quick Summary

Key Responsibilities

You will work with an experienced digital health algorithm research team to develop novel and disruptive algorithms towards digital health services and solutions. Design, implement,

Technical Tools
OtherDigital

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.

Responsibilities

~2 min read

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 sratalent@samsung.com.

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

Location & Eligibility

Where is the job
Mountain View, United States
On-site at the office
Who can apply
US

Listing Details

Posted
August 6, 2026
First seen
August 6, 2026
Last seen
August 22, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
71%
Scored at
August 6, 2026

Signal breakdown

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2026 Fall Intern, Digital Health AlgorithmsUSD 44-63