Data Scientist

Title: Senior Data Scientist – AI Agents & LLMs in Healthcare Location: Los Angeles, CA We are seeking aSenior Data Scientistto join our team in building intelligent, interoperable, and context-aware AI agents that transform healthcare operations. This role focuses on developing advanced agent architectures, leveraging LLMs, and implementing protocols for seamless agent collaboration across clinical, administrative, and benefits platforms. Key Responsibilities • Design and implementAgent-to-Agent (A2A) protocolsfor autonomous collaboration and task delegation between specialized AI agents (e.g., Claims Agent, Eligibility Agent). • Develop and operationalizeModel Context Protocol (MCP)pipelines to support persistent, memory-augmented, and contextually grounded LLM interactions. • Buildmulti-agent systemsorchestrated by LLM-driven planning modules for use cases like benefit processing, prior authorization, and clinical summarization. • Fine-tune and integratedomain-specific LLMs and NLP models(e.g., BioGPT, medical BERT) for document understanding and personalized recommendations. • Createretrieval-augmented generation (RAG)systems and structured context libraries for dynamic knowledge grounding from structured and unstructured sources. • Collaborate with engineering and data teams to ensuresecure, explainable, and compliantagentic pipelines aligned with healthcare regulations (HIPAA, CMS, NCQA). • Lead research and prototyping inmemory-based agent systems,RLHF, andcontext-aware task planning. • Support production deployment through robustMLOps pipelinesfor model versioning, monitoring, and continuous improvement. Minimum Required Qualifications • Master’s or Ph.D. in Computer Science, Machine Learning, NLP, or a related field. • 10+ years of experience in applied AI, with a focus onLLMs, transformers, agent frameworks, orNLP in healthcare. • Hands-on experience withAgent-to-Agent protocolsand tools likeLangGraph, AutoGen, or CrewAI. • Practical experience implementingModel Context Protocols (MCP)for long-lived conversational memory. • Strong programming skills inPython, with proficiency in libraries such asHugging Face Transformers, PyTorch, LangChain, spaCy. Preferred Qualifications • Familiarity withhealthcare benefit systems, including plan structures, claims data, and eligibility rules. • Experience withhealthcare data standards(FHIR, HL7, ICD/CPT, X12 EDI). • Cloud-native development experience onAWS, Azure, or GCP, includingKubernetes, Docker, and CI/CD. • Deep understanding ofMCP + VectorDB integrationfor dynamic agent memory and retrieval. • Prior work onLLM-based agentsin production or large-scale healthcare environments. • Experience withvoice AI,automated care navigation, orAI triage tools. • Published research or patents inagent systems,LLM architectures, orcontextual AI frameworks. Job Type: Contract Pay: $60.00 - $65.00 per hour Benefits: • Dental insurance • Vision insurance Work Location: In person