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