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.