Data Scientist - LLM/RAG

We are seeking a Fractional AI Data Scientist with deep healthcare analytics experience to support the design of agentic AI workflows, build LLM-powered tools, and structure data pipelines from EHRs, payer systems, and clinical sources.

Your work will power intelligent automations for Eligibility Verification, Pre-Authorization, Risk Stratification, and more.

Youll work closely with solution architects, automation engineers, and clinical SMEs to ensure healthcare data is structured, insightful, and responsibly applied in AI contexts.

Key Responsibilities :

- 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.

Required Skills & Experience :

- 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.

Preferred Qualifications :

- 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).

Tech Stack :

- Languages : Python, SQL, PySpark.

- AI/ML : Scikit-learn, OpenAI, Hugging Face, LangChain, Transformers.

- Data : Azure Data Factory, Snowflake, BigQuery, Postgres.

- Integration : FHIR APIs, REST APIs, Postman.

- Visualization : Power BI, Streamlit, Tableau.

- Compliance : HIPAA, De-ID, RBAC.