Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist with a contract length in Woodland Hills, CA. The pay rate is unspecified. Key skills include 7+ years in applied AI/NLP in healthcare, strong Python proficiency, and experience with cloud-native development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 17, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Woodland, CA
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🧠 - Skills detailed
#FHIR (Fast Healthcare Interoperability Resources) #Docker #Langchain #ML (Machine Learning) #Cloud #Scala #Monitoring #"ETL (Extract #Transform #Load)" #Transformers #Azure #CMS (Content Management System) #SpaCy #PyTorch #Data Science #Libraries #Kubernetes #BERT #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Compliance #Hugging Face #Python #Deployment #AWS (Amazon Web Services) #NLP (Natural Language Processing)
Role description
Role: Senior Data scientist
Contract
Woodland hills CA(Onsite)
JD:
🔍 What You’ll Do
• Design Agent-to-Agent (A2A) protocols for autonomous collaboration between AI agents (e.g., ClaimsAgent, EligibilityAgent).
• Build Model Context Protocol (MCP) pipelines for persistent memory and context-aware LLM interactions.
• Develop multi-agent orchestration systems for benefit processing, prior authorization, and clinical summarization.
• Fine-tune domain-specific LLMs (e.g., BioGPT, medical BERT) for document understanding and personalized recommendations.
• Implement RAG systems and structured context libraries using FHIR, ICD-10, EHR notes, and chat logs.
• Ensure compliance with HIPAA, CMS, NCQA while building scalable, explainable pipelines.
• Lead research in RLHF, memory-based agents, and context-aware planning.
• Contribute to MLOps pipelines for deployment, monitoring, and continuous improvement.
✅ What You Bring
• Master’s/Ph.D. in CS, ML, NLP, or related field.
• 7+ years in applied AI with LLMs, transformers, agent frameworks, or NLP in healthcare.
• Hands-on with LangGraph, AutoGen, CrewAI, and Model Context Protocols.
• Strong Python skills with Hugging Face, PyTorch, LangChain, spaCy, etc.
• Experience with healthcare data standards: FHIR, HL7, ICD/CPT, X12 EDI.
• Cloud-native development on AWS, Azure, or GCP with Docker/Kubernetes.
Role: Senior Data scientist
Contract
Woodland hills CA(Onsite)
JD:
🔍 What You’ll Do
• Design Agent-to-Agent (A2A) protocols for autonomous collaboration between AI agents (e.g., ClaimsAgent, EligibilityAgent).
• Build Model Context Protocol (MCP) pipelines for persistent memory and context-aware LLM interactions.
• Develop multi-agent orchestration systems for benefit processing, prior authorization, and clinical summarization.
• Fine-tune domain-specific LLMs (e.g., BioGPT, medical BERT) for document understanding and personalized recommendations.
• Implement RAG systems and structured context libraries using FHIR, ICD-10, EHR notes, and chat logs.
• Ensure compliance with HIPAA, CMS, NCQA while building scalable, explainable pipelines.
• Lead research in RLHF, memory-based agents, and context-aware planning.
• Contribute to MLOps pipelines for deployment, monitoring, and continuous improvement.
✅ What You Bring
• Master’s/Ph.D. in CS, ML, NLP, or related field.
• 7+ years in applied AI with LLMs, transformers, agent frameworks, or NLP in healthcare.
• Hands-on with LangGraph, AutoGen, CrewAI, and Model Context Protocols.
• Strong Python skills with Hugging Face, PyTorch, LangChain, spaCy, etc.
• Experience with healthcare data standards: FHIR, HL7, ICD/CPT, X12 EDI.
• Cloud-native development on AWS, Azure, or GCP with Docker/Kubernetes.
