Senior Applied Scientist
Core
Design, develop, and deploy algorithmic systems (ML, optimization, heuristics) to solve high-stakes healthcare problems like provider tiering, AI primary care, and member engagement.
Role type
Senior Applied Scientist (hands-on IC)
Builds
Production ML models and optimization systems for healthcare benefits and member engagement
Domain
Healthcare technology / Health economics
Deliverable
production ML models
Required skills
Machine learning, optimization, heuristics, LLM fine-tuning, Python, SQL, statistical modeling, problem framing, metric definition
Preferred skills
PhD, experience in quantitative research or hedge funds
Technologies
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace
Responsibilities
Own ambiguous high-stakes problems end-to-end; frame real-world constraints into clear objectives; define metrics and validate solutions; choose appropriate algorithmic approaches; build evaluation tooling; review others' work with rigor
Seniority
Senior, hands-on IC