Posted:6 days ago|
Platform:
On-site
Part Time
You’ll work closely with solution architects, automation engineers, and clinical SMEs to ensure healthcare data is structured, insightful, and responsibly applied in AI contexts.
Build and fine-tune AI/ML/NLP models tailored to healthcare datasets (structured & unstructured).
Design intelligent prompts and evaluation pipelines using LLMs (OpenAI, Azure OpenAI).
Work with healthcare data from Epic, Cerner, Availity, and claims sources to build actionable insights.
Partner with Azure engineers or Workato specialists to build data-driven agentic workflows.
Cleanse and transform healthcare data (FHIR, HL7, CSV, SQL) for modeling and automation triggers.
Ensure all solutions comply with HIPAA and ethical AI best practices.
Visualize outcomes for business and clinical teams, and document models for reuse.
5+ years in data science with at least 2+ in healthcare-specific roles.
Experience with clinical data (EHR, EMR, payer claims) and healthcare ontologies (ICD-10, CPT, FHIR).
Hands-on with LLM tools (OpenAI, LangChain, RAG frameworks) for classification, summarization, or chatbot use cases.
Strong proficiency in Python, SQL, Pandas, and ML/NLP frameworks.
Familiarity with PHI/PII handling and compliance frameworks like HIPAA.
Azure AI stack (OpenAI, Data Factory, Synapse)
Experience in conversational AI, intake automation, or clinical note summarization
Worked in or with a digital health, healthtech, or AI startup environment
Understanding of automation platforms (Workato, Power Automate)
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