Senior Data Scientist

Senior Data Scientist
inui 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 inui In-Home Urine Analysis, a urine 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.
Do some good. Have fun. Make history.
Job Description
The Senior Data Scientist will contribute directly to inui's 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 
Required Experience
  • 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 
Preferred Experience
  • 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


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