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