Applied AI Scientist III

Responsibilities

• Develop and apply advanced AI solutions including Agentic AI, RAG, and LLMs to enhance healthcare operations and patient care.
• Evaluate emerging technologies in NLP and Generative AI to drive continuous innovation within healthcare informatics.
• Lead the development lifecycle from prototype to production in partnership with engineering and architecture teams.
• Utilize NLP algorithms and deep learning to analyze unstructured healthcare data such as clinical notes and medical literature.
• Define and execute evaluation strategies for ML and LLM solutions, including quality metrics, bias checks, and performance monitoring.
• Collaborate with interdisciplinary teams across IT, clinical, and finance departments to identify data‑driven opportunities.
• Provide strategic guidance and recommendations to senior leadership based on predictive modeling results.
• Ensure strict compliance with data privacy regulations, including HIPAA and PHI handling.

• Bachelor's degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, or a related field.
• 5 years of experience in predictive analytics or data science.
• 5 years of experience within the healthcare industry.
• 1 year of experience with cloud services (Azure, AWS, or GCP) and modern data stacks like Databricks or Snowflake.
• 1 year of experience in the development and deployment of NLP and Generative AI solutions in a healthcare setting.
• Proficiency in Python or R.
• Expertise in SQL for data extraction and analysis.

• Master's or PhD degree in a quantitative field.
• Experience with MLOps and LLMOps practices (CI/CD, model registry, automated evaluation).
• Familiarity with Optical Character Recognition (OCR) technologies.
• Knowledge of healthcare-specific data including medical/pharmacy claims and EMR data.