Data Scientist NLP & AI

Mandatory skills

• Proficiency in Python and scripting languages for NLP and machine learning development.
• Strong understanding of clinical NLP techniques and experience with machine learning and deep learning models.
• Hands-on experience with large language models and agentic workflow tools such as LangGraph.
• Expertise in SQL and big data technologies including AWS EMR and Spark/pySpark.
• Practical knowledge of AWS services, especially AWS Bedrock for generative AI applications.
• Experience with relational databases such as PostgreSQL or MySQL.

Good to have skills: -

• Familiarity with generative AI applications in healthcare and related use cases.
• Understanding of healthcare data standards and terminologies such as HL7, FHIR, and CCDA.
• Experience in creating detailed documentation, user manuals, and technical specifications.
• Background in automated testing and validation frameworks for NLP outputs.
• Ability to collaborate effectively with cross-functional teams including engineering and products.
• Exposure to LangChain or similar frameworks for building intelligent agent workflows.