23103 Principal Data Scientist - HealthTech / Diagnostics - Consumer Focused Products, OTC/DTC
Location/City : CA - Sunnyvale
Area Code : 650
Job Type : 1: Full Time
Country/Locale : USA
Id : 23103
23103 Principal Data Scientist (Machine Learning / Computer Vision) - HealthTech / DiagnosticsLocation: Sunnyvale, CA
Our client is a consumer medical devices company developing a human-centered suite of products using science and technology to empower everyday people to monitor and better understand their health anytime, anywhere. Be a part of a team whose vision is to combine a broad array of electrical and biochemical sensors with intelligent algorithms to develop In-vitro diagnostic and medical devices that will support personalized medicine.
Do some good. Have fun. Make history.
The Principal Data Scientist will contribute directly to proprietary algorithm development; designing, training, and implementation. We are seeking a highly technical, data-centric individual with great communication skills to join our team. The Principal Data Scientist will be a member of our Algorithms and Machine learning group, working closely with our additional Principal Data Scientist, the VP of Engineering, and the research and development teams.
Duties and Responsibilities
-Research, design, and development algorithms related to image analysis and machine learning systems in a mobile environment.
-Able to demonstrate that the developed algorithms meet accuracy requirements.
-Perform statistical analysis, estimate generalization errors and confidence intervals.
-Provide guidance to data collection teams on test protocols including design of experiments, number of samples, and statistical distributions.
-Summarize algorithm development, analysis, training and validation of the algorithms in technical reports.
-Write design input specifications and requirements related to the algorithms for the product development phase.
-Provide guidance to software team for implementation of the algorithms during the product development phase.
-Collaborate closely with other cross-functional teams to validate the developed algorithms.
-Master's or PhD. in computer science, data science, statistics, applied mathematics, engineering, or related technical field.
-7+ years (Masters.) or 4+ years (Ph.D.) experience in algorithm development for consumer medical devices.
-Proficiency in machine learning and data mining.
-Solid understanding of supervised learning algorithms including regression, support vector machines with kernels, decision trees, and neural networks, statistical analysis, probability theory, cross-validation techniques, feature extraction, feature selection and color image analysis.
-Excellent programming skills in Matlab, Python, R, or C/C++.
-Strong verbal communication skills; able to translate data technology and statistics across teams.
-Ability to focus and to achieve scheduled milestones; possessing a passion for data.
-Excellent written communication skills.
-Experience in risk management activities for FDA- approved/cleared biomedical products, including risk assessment, risk estimation, and risk mitigation is desirable.
-Knowledge of FDA quality system and requirements for design control is a plus.
-A desire to learn new biotechnologies quickly and work in a fast-paced and dynamic environment.