Lead the design, development, and deployment of predictive models using machine learning and AI techniques for healthcare applications
Drive data science initiatives by leveraging real-world data to improve patient outcomes and drug development
Provide technical leadership and mentorship to a team of data scientists, promoting best practices in MLOps
Required Qualifications
PhD or Master's degree in a quantitative field such as Computer Science, Statistics, or Biomedical Informatics
8+ years of experience in data science, particularly in predictive modeling within healthcare or life sciences
Expertise in machine learning algorithms and deep learning architectures, especially with transformer models
Proficiency in programming languages like Python or R and relevant data science libraries
Experience with large-scale healthcare datasets such as claims data or electronic health records
Average salary estimate
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