Senior Data Scientist, Algorithms and Machine Learning - HealthTech, Consumer Medical Diagnostics
Location/City : CA - Sunnyvale
Area Code : 650
Job Type : 1: Full Time
Id : 23238
23238 Senior Data Scientist, Algorithms and Machine Learning - HealthTech, Consumer Medical Diagnostics
Our client is a consumer medical diagnostics company developing diagnostic capabilities in a mobile environment to empower consumers with access to information about their own health, anytime, anywhere, leading to a better quality of life. The current product pipeline includes an In-Home Urine Analysis test kit designed to check for several health conditions by measuring the levels of chemical substances in a urine sample. This test kit combines intelligent algorithms, the mobility of smartphones, and in-vitro diagnostic science to support personalized medicine. Be a part of a team whose vision is to provide cloud-based diagnostic testing with higher accuracy and lower cost for early intervention.
The Senior Data Scientist will contribute directly to algorithm development; maintaining, designing, training, and implementation. We are seeking a highly technical, data-centric individual with great communication skills to join our team. The Senior Data Scientist will be a member of our Algorithms and Machine learning group, working closely with our 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 in computer science, data science, statistics, applied mathematics, engineering, or related technical field.
-5+ years hands-on experience in algorithm development for consumer 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.