Staff Applied Scientist
Core
Design and ship algorithmic systems (ML, optimization, heuristics) to optimize healthcare outcomes, provider tiering, and member engagement using proprietary clinical metrics.
Role type
Staff Applied Scientist (player-coach, hands-on IC with team leadership)
Builds
Production algorithmic systems for provider tiering, AI primary care LLMs, and member engagement models
Domain
Healthcare technology / Health economics
Deliverable
production ML models
Required skills
Applied problem-solving, defining metrics, choosing between ML/optimization/heuristics, technical authority, mentoring, executive communication, rapid prototyping
Preferred skills
Management experience, PhD
Technologies
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling
Responsibilities
Own ambiguous high-stakes problems end-to-end, frame real-world constraints into objectives, define validation metrics, choose algorithmic approaches, deliver breakthroughs, lead a small team, review company-wide science work
Seniority
Staff, hands-on IC with team leadership