Data Scientist Clinical and Operational Analytics
Develop and deploy machine learning models to support clinical and operational decision-making. Work with large datasets to extract insights and support predictive analytics for human performance and health.
Requirements
Mandatory Qualifications:
• Bachelor’s degree in a quantitative field (e.g., Computer Science, Applied Math).
• 3+ years of experience in predictive analytics.
• Proficiency in Python, NumPy, Pandas, Matplotlib, and Scikit-learn.
• Ability to explain and implement ML algorithms from scratch.
• Signed NDA and HIPAA training required upon start.
Desired Qualifications:
• Experience with dashboard development and pretrained language models.
• Experience with dimensionality reduction and deep learning libraries (TensorFlow, PyTorch).
• Familiarity with human biology and performance.
Key Tasks and Responsibilities:
• Develop and tune unsupervised tree-based clustering models.
• Implement decision trees, k-NN, and optimized list sorting algorithms.
• Generate and minimize distance matrices using vectorized code.
• Collaborate with software engineers and maintain HIPAA compliance.
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