

BridgeNexus Technologies Inc
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist focused on AI agents and LLMs in healthcare, based in Los Angeles, CA. Contract length is unspecified, with a pay rate of $60.00 - $65.00 per hour. Requires 10+ years in applied AI, healthcare experience, and strong Python skills.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
October 9, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Los Angeles, CA 90041
-
π§ - Skills detailed
#Docker #Langchain #CMS (Content Management System) #Transformers #Computer Science #Deployment #Kubernetes #Azure #BERT #FHIR (Fast Healthcare Interoperability Resources) #SpaCy #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #Data Science #Monitoring #Python #Cloud #Programming #"ETL (Extract #Transform #Load)" #Hugging Face #AWS (Amazon Web Services) #ML (Machine Learning) #Libraries #PyTorch #NLP (Natural Language Processing)
Role description
Title: Senior Data Scientist β AI Agents & LLMs in Healthcare
Location: Los Angeles, CA
We are seeking a Senior Data Scientist to 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 implement Agent-to-Agent (A2A) protocols for autonomous collaboration and task delegation between specialized AI agents (e.g., Claims Agent, Eligibility Agent).
Develop and operationalize Model Context Protocol (MCP) pipelines to support persistent, memory-augmented, and contextually grounded LLM interactions.
Build multi-agent systems orchestrated by LLM-driven planning modules for use cases like benefit processing, prior authorization, and clinical summarization.
Fine-tune and integrate domain-specific LLMs and NLP models (e.g., BioGPT, medical BERT) for document understanding and personalized recommendations.
Create retrieval-augmented generation (RAG) systems and structured context libraries for dynamic knowledge grounding from structured and unstructured sources.
Collaborate with engineering and data teams to ensure secure, explainable, and compliant agentic pipelines aligned with healthcare regulations (HIPAA, CMS, NCQA).
Lead research and prototyping in memory-based agent systems, RLHF, and context-aware task planning.
Support production deployment through robust MLOps pipelines for model versioning, monitoring, and continuous improvement.
Minimum Required Qualifications
Masterβs or Ph.D. in Computer Science, Machine Learning, NLP, or a related field.
10+ years of experience in applied AI, with a focus on LLMs, transformers, agent frameworks, or NLP in healthcare.
Hands-on experience with Agent-to-Agent protocols and tools like LangGraph, AutoGen, or CrewAI.
Practical experience implementing Model Context Protocols (MCP) for long-lived conversational memory.
Strong programming skills in Python, with proficiency in libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy.
Preferred Qualifications
Familiarity with healthcare benefit systems, including plan structures, claims data, and eligibility rules.
Experience with healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI).
Cloud-native development experience on AWS, Azure, or GCP, including Kubernetes, Docker, and CI/CD.
Deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval.
Prior work on LLM-based agents in production or large-scale healthcare environments.
Experience with voice AI, automated care navigation, or AI triage tools.
Published research or patents in agent systems, LLM architectures, or contextual AI frameworks.
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Benefits:
Dental insurance
Vision insurance
Work Location: In person
Title: Senior Data Scientist β AI Agents & LLMs in Healthcare
Location: Los Angeles, CA
We are seeking a Senior Data Scientist to 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 implement Agent-to-Agent (A2A) protocols for autonomous collaboration and task delegation between specialized AI agents (e.g., Claims Agent, Eligibility Agent).
Develop and operationalize Model Context Protocol (MCP) pipelines to support persistent, memory-augmented, and contextually grounded LLM interactions.
Build multi-agent systems orchestrated by LLM-driven planning modules for use cases like benefit processing, prior authorization, and clinical summarization.
Fine-tune and integrate domain-specific LLMs and NLP models (e.g., BioGPT, medical BERT) for document understanding and personalized recommendations.
Create retrieval-augmented generation (RAG) systems and structured context libraries for dynamic knowledge grounding from structured and unstructured sources.
Collaborate with engineering and data teams to ensure secure, explainable, and compliant agentic pipelines aligned with healthcare regulations (HIPAA, CMS, NCQA).
Lead research and prototyping in memory-based agent systems, RLHF, and context-aware task planning.
Support production deployment through robust MLOps pipelines for model versioning, monitoring, and continuous improvement.
Minimum Required Qualifications
Masterβs or Ph.D. in Computer Science, Machine Learning, NLP, or a related field.
10+ years of experience in applied AI, with a focus on LLMs, transformers, agent frameworks, or NLP in healthcare.
Hands-on experience with Agent-to-Agent protocols and tools like LangGraph, AutoGen, or CrewAI.
Practical experience implementing Model Context Protocols (MCP) for long-lived conversational memory.
Strong programming skills in Python, with proficiency in libraries such as Hugging Face Transformers, PyTorch, LangChain, spaCy.
Preferred Qualifications
Familiarity with healthcare benefit systems, including plan structures, claims data, and eligibility rules.
Experience with healthcare data standards (FHIR, HL7, ICD/CPT, X12 EDI).
Cloud-native development experience on AWS, Azure, or GCP, including Kubernetes, Docker, and CI/CD.
Deep understanding of MCP + VectorDB integration for dynamic agent memory and retrieval.
Prior work on LLM-based agents in production or large-scale healthcare environments.
Experience with voice AI, automated care navigation, or AI triage tools.
Published research or patents in agent systems, LLM architectures, or contextual AI frameworks.
Job Type: Contract
Pay: $60.00 - $65.00 per hour
Benefits:
Dental insurance
Vision insurance
Work Location: In person