Data Scientist

Responsibilities

• 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

Requirements

• 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

Preferred Qualifications

• 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