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