Principal Applied Machine Learning Scientist
Core
Lead high-impact research and applied algorithm development to predict member health trajectories and identify optimal interventions using longitudinal healthcare data.
Role type
Principal Applied Machine Learning Scientist (Healthcare)
Builds
Production ML models for health trajectory prediction and next-best-action decisioning for chronic disease management.
Domain
Digital Health / Healthcare / Machine Learning
Deliverable
production ML models
Required skills
Time-series/longitudinal modeling, Reinforcement learning, Causal inference, Python, Cloud platform deployment (AWS SageMaker), Problem formulation, Evaluation design, Cross-functional collaboration
Preferred skills
Healthcare domain expertise, Peer-reviewed publications in ML/RL/Causal inference
Technologies
Python, AWS SageMaker, Cloud platforms
Responsibilities
Lead research on individual- and population-level health trajectory models; Design next-best-action algorithms to optimize intervention decisions; Define objective functions and policy constraints for engagement and clinical effectiveness; Set standards for algorithmic rigor and evaluation; Mentor scientists on temporal modeling and causal inference; Collaborate with engineering to productionize research outputs.
Seniority
Principal, hands-on IC with mentorship