AI/ML – Applied Research Scientist, Health AI


Job Overview

Key Qualifications

  • Expertise in at least one area of machine learning, artificial intelligence, or statistics (e.g., health, time series, causal inference, probabilistic modeling, bandits and reinforcement learning, deep learning, optimization, NLP)
  • Strong interest in applying machine learning to health related problems and data
  • Ability to distill vague product experiences into concrete problem definitions
  • Experience using a programming language (Python, R, C/C++ etc.) to manipulate data, draw insights from large data sets, and train machine learning models.
  • A drive to learn and master new technologies and techniques
  • A passion for making methods robust and scalable
  • Excellent verbal and written communication and presentation skills
  • 3–5 years of practical experience applying ML to solve real-world problems or relevant quantitative and qualitative research and analytics experience
  • Description

    * Investigating innovative machine learning, artificial intelligence, and statistics techniques for health data challenges* Designing and implementing machine learning pipelines* Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, and visualization techniques * Processing, cleaning, and verifying the integrity of data used for analysis* Validating your findings using an experimental and iterative approach and effectively presenting back your findings

    Education & Experience

    * MS or PhD in Computer Science, Machine Learning, AI, Statistics, Mathematics, or related quantitative field* Professional certifications

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