Manager, Applied Science
Core
Lead a team of Applied Scientists to build and ship production algorithmic systems (ML, optimization, heuristics) that optimize healthcare outcomes, costs, and member engagement.
Role type
Senior Manager, Applied Science (Hands-on IC)
Builds
Production ML models, optimization algorithms, and AI-driven decision systems for healthcare provider tiering, primary care experiences, and member engagement.
Domain
Healthcare technology / Applied Machine Learning
Deliverable
production ML models
Required skills
Team leadership and hiring, technical direction of ML/optimization/heuristics, defining objective functions and metrics, hands-on prototyping and code review, translating ambiguous business goals into problem sets, executive communication
Preferred skills
PhD in relevant field, experience in high-stakes algorithmic environments (e.g., hedge funds)
Technologies
Python, SQL, AWS, Snowflake, pandas, XGBoost, Pytorch, HuggingFace, modern LLM tooling
Responsibilities
Hire, coach, and develop Applied Scientists; own team roadmap and delivery; set technical direction and stay close to code/data; define metrics to validate solutions; solve high-stakes algorithmic problems (provider tiering, LLM primary care, member engagement); represent team work to senior leadership
Seniority
Senior, hands-on IC with management responsibilities
