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