Data Scientist (Agentic AI)

ABOUT THE ROLE We're looking for a Data Scientist to build intelligent AI agents and retrieval systems that power our clinical platform. You'll design multi-step reasoning systems, agent architectures, and the underlying knowledge infrastructure that enables AI to autonomously navigate complex clinical workflows. WHAT YOU'LL DO - Design and build AI agents capable of multi-step clinical reasoning and tool use - Develop multi-agent systems that coordinate specialized AI components for complex analysis - Build intelligent retrieval and RAG systems that ground agent actions in relevant patient data - Create agent orchestration frameworks that handle diverse clinical workflows - Implement document understanding pipelines for structured extraction from clinical documents - Optimize agent performance, reliability, and cost efficiency QUALIFICATIONS Required - Strong foundation in deep learning frameworks (PyTorch) and LLM architectures - Experience building LLM-powered agents or multi-step reasoning systems - Familiarity with agent frameworks and tool-use patterns - Experience with retrieval systems, embeddings, and vector databases - Proficiency in Python and modern ML development tools - Ability to read and implement research papers - Excellent communication skills Preferred - Master's degree in Computer Science, Machine Learning, or related quantitative field (PhD preferred) - Publications in ML/AI/NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP) - Experience with multi-agent coordination or orchestration systems - Background in healthcare data or clinical workflows - Experience with reinforcement learning for agent optimization (PPO, etc.) - Familiarity with document processing and information extraction