Applied Scientist III
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 (production systems)
Builds
Production ML models and algorithmic systems for healthcare optimization
Domain
Healthcare / Health Economics / AI
Deliverable
production ML models
Required skills
Machine learning, optimization, heuristics, statistical modeling, LLM fine-tuning, algorithm design, metric definition, prototype development
Preferred skills
PhD, experience in quantitative research or hedge funds
Technologies
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling
Responsibilities
Frame messy real-world constraints into clear objectives and decision frameworks; define metrics to validate solutions; choose the right approach (ML vs optimization vs rules) for each problem; build and productionize LLM-based medical-adjacent products; review others' work to set quality standards
Seniority
Senior, hands-on IC