Senior, Applied AI Health Scientist
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 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.
About the role
Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior, Applied AI Health Scientist with a solid ML/AI technology background and digital health-related research project experience in digital biomarkers, physiological signal processing, and multi-modality mobile sensing development. You will play a key role in delivering innovation in the digital health domain, creating technologies and intellectual properties, deploying and validating novel technologies, and transferring mature outcomes to production and scientific publications in top-tier computing venues.
You will be a core part of a passionate team charged with developing, incubating, and launching a portfolio of digital health product concepts that disrupt the healthcare paradigm. By leveraging smartphones, wearables, embedded devices, and IoT in the health/wellness domain, your work will significantly benefit real-world patients, seniors, physicians, and caregivers.
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.
Requirements
- 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.
Skills
- 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.
Pay
Base pay range: $158,800 - $218,100 USD. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.