Senior Data Scientist (Biometrics)

Overview


We are looking to add a Senior Data Scientist to join our team. The ideal candidate will hold a PhD in Computer Science/Data Science with focus on biometric analysis OR have a minimum of 2-3 years of experience post-grad school OR 5-year experience post-undergrad as a Data Scientist or Machine Learning Engineer. Proficiency in Python and experience with Data Science is a must. Experience with Time Series Data / Analysis, Biometrics, Small Data Analytics, TensorFlow, Keras, analysis techniques (statistics, machine learning, signal processing, and data mining) is highly desirable. Start-up experience is a plus.

Senior Data Scientist (Biometrics) Responsibilities:

As a member of our R&D team, you will develop new algorithms based on our sensors and wearable technologies and develop and test new models using a variety of machine learning approaches. You will also study data, prototype devices, and use insight to test hypotheses for development.

  • Feature discovery, building and optimizing models using machine learning techniques to generate health-sensitive metrics from the analysis of real-world data
  • Collaborating with Data Science and Engineering teams in the automatization of biomarker discovery pipeline
  • Collaborating with Clinical and Regulatory teams in the validation of biomarker performance and development practices
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis

Skill and Qualifications


  • PhD in Computer Science/Data Science with focus on biometric analysis OR minimum of 2-3 years of experience post-grad school OR 5-year experience post-undergrad as a Machine Learning Engineer or Data Scientist
  • Proficiency in Python
  • Machine Learning experience (implementing real data to deploy and develop products
  • B.S. or higher in computer science, computer engineering, or electrical engineering
  • Experience with Time Series Data / Analysis
  • Experience with small data analytics
  • Experience with biometric data/real-world data (keystroke, voice, accelometer, face analysis, etc.)
  • Analysis techniques (statistics, machine learning, signal processing, and data mining)
  • Experience with Python machine learning tools, Scikit-Learn, Keras, Tensorflow
  • Experience using query languages such as SQL
  • Experience with NoSQL databases, such as MongoDB
  • Data-oriented personality
  • Great communication skills

Apply here

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nQ Medical Biomaker platform developer

Our Mission is to improve lives by enabling the discovery and development of digital biomarkers.

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nQ Medical’s software has been granted breakthrough device designation but is not yet cleared by the FDA. Any depictions of the technology are intended to be conceptual and illustrative and are not intended to convey exact representations of anatomy, physiology, structure, positioning, or performance of the technology.