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