Samsung Research America Digital Health Team is looking for an outstanding Ph.D.-level Senior Research Engineer 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:
- Work with project team and contribute to data analysis, performance evaluation and other project milestone related tasks.
- Lead the development of innovative ideas and algorithms based on noisy signals from sensors including, but not limited to, light, audio, physiological, and inertial sensor data collected both in lab and field settings.
- Prepare proof-of-concept, demo / prototypes, design and execute pilot studies with mobile sensors.
- Generate patents and scientific research papers for top-tier publications.
Required Skills:
- Ph.D. in Computer Science, Computer Engineering, Biomedical Engineering, Electrical Engineering, Biophysics, Mathematics, health sciences or related areas, or equivalent combination of education, training, and experience.
- 3+ years of demonstrable knowledge and experience in Image Processing, Machine Learning, Signal Processing, and their applications on mobile sensor data collected in lab and in the wild.
- Experience in one or more of the following programming languages: Python, Java, Android, MATLAB, R.
- Strong interpersonal and collaboration skills, ability to present complex information in an understandable and compelling manner, and comfortable working with multi-disciplinary teams.
- Publications in top-tier computing venues.
Special Attributes:
- Experience in computer vision, time-series data analytics.
- Strong mathematics background, especially statistics.
- Turn the analyzed data into actionable insight and/or understandable visualization.
- On-device implementation of ML/AI algorithms in C/C++/Java.
- Clinical study design, IRB development, in-lab and/or in-the-wild data collection studies.
- Product development and prototyping experience in order to implement and validate solutions.
- Experience in designing and conducting studies of wearable devices or clinical-trials with human subjects both in lab and field settings.
- Good understanding of human physiology, noninvasive sensors used to measure digital biomarkers for health and behavior monitoring.
- Working experience with optoelectronics sensors and data analysis.
- Experience in embedded systems development and performance analysis.
- Previous experience developing algorithms in healthcare research/industry using EMR/EHR and wearable sensor data.
- Have working knowledge of the healthcare industry and experience curating and analyzing healthcare and wellness data.
- Proficiency in the Android/Tizen/iOS development environment with the ability to create fully working prototypes.
- Experience in collaborating on software implementations of algorithms and computing models with client and cloud engineers.
- Understanding of human factors, usability and comfort with wearable sensors.
- Experience operating under HIPAA is a plus.
Our total rewards programs are designed to motivate and engage exceptional talent. The base pay range for roles at this level is listed below, but may be higher or lower in other states due to geographic differentials in the labor market. Within the base pay range, individual rates depend on a number of factors—including the role’s function and location as well as the individual’s knowledge, skills, experience, education and training. This is part of our comprehensive compensation package with annual bonus eligibility and generous benefits to help you live life well.
Base Pay Range:
$151,200—$207,750 USD
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 or email
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