Data Scientist (ITS)
Core
Design, develop, test, and deploy agentic AI workflows and AI Agents to support clinical operations and research within a healthcare environment.
Role type
Applied AI Engineer / Data Scientist (Agentic Workflows)
Builds
Scalable, production-ready agentic AI workflows and AI Agents integrated into real-world departmental processes.
Domain
Healthcare / Applied AI Engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, Full stack development (JavaScript, Node.js), LLM application deployment, API integration, RAG implementation, Workflow orchestration, Security/Privacy protocols
Preferred skills
Multi-step workflow design with human-in-the-loop, Multi-agent systems, Cloud deployment (AWS/Azure/GCP), Reinforcement Learning fundamentals, Lightweight fine-tuning
Technologies
PyTorch, TensorFlow, n8n, LangChain, LangGraph, AutoGen, CrewAI, AWS, Azure, GCP, GitHub, Tableau, ArcGIS, D3.js, MySQL, SQL Server, Oracle, Snowflake, Redshift, Mongo, NoSQL
Responsibilities
Build AI workflows executing multi-step tasks via APIs and internal databases; Integrate and normalize multiple data modalities; Implement RAG and grounding controls; Design, troubleshoot, and refine Agentic AI workflows; Collaborate with clinicians and researchers to translate needs into safe deliverables
Seniority
Mid-level IC (2+ years experience)
