Senior, Applied AI Health Scientist
Samsung Research AmericaMountain View, California, United States · Posted 1 month agoDescription
Lab Summary:
Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory. Millions of Samsung users’ lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung’s unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us!
Position Summary:
Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior, Applied AI Health Scientist with solid ML/AI technology background and digital health-related research project experiences in digital biomarker, physiological signal process and multi-modality mobile sensing development. You need to have a strong track-record of success in academic and/or industrial settings. You will play a key role in delivering innovation in digital health domain, create technologies and intellectual properties, deploy and validate novel technologies, and transfer the mature outcomes to production and scientific publications in top-tier computing venues. We expect candidates who have solid data analytics skills and project experiences in areas such as mobile health systems and wearable computing.
You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that will disrupt the healthcare paradigm. By leveraging smart phones, wearables, embedded devices and the IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians and care givers. Samsung’s unique advantage in the consumer electronics market and growing focus on digital health will provide you with exciting technical challenges and a rewarding career experience.
Position Responsibilities
- Collaborate with the project team to contribute to data analysis, performance evaluation, and other milestone-related tasks.
- Lead the development of innovative algorithms and ideas based on noisy signals from sensors, including light, audio, physiological, and inertial data collected in both lab and field settings.
- Train novel health foundation models from scratch and fine-tune existing models to accelerate the development of new health and wellness offerings for Samsung wearables.
- Design and execute pilot studies, create proof-of-concept prototypes, and develop demos using mobile sensors.
- Generate patents and publish scientific research in top-tier journals and conferences.
Required Skills
- PhD. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, Health Sciences, or related field or equivalent combination of education, training, and experience.
- 3+ years of experience in Signal Processing, Machine Learning, Deep Learning, and their applications to large-scale time-series data.
- Proficiency in one or more programming languages: Python, Java, Android, MATLAB, or R.
- Strong interpersonal and collaboration skills, with the ability to present complex information clearly and effectively. Comfortable working in multi-disciplinary teams.
- First-author publications in top-tier computing venues.
Special Attributes (Preferred)
- Ability to turn analyzed data into actionable insights or clear visualizations.
- Experience in clinical study design, IRB development, and conducting in-lab or in-the-wild data collection studies.
- Product development and prototyping experience to implement and validate solutions.
- Good understanding of human physiology and non-invasive sensors for measuring digital biomarkers in health and behavior monitoring.
- Experience developing healthcare algorithms using EMR/EHR and wearable sensor data.
- Familiarity with HIPAA compliance.
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 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
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