AI Data Scientist
Core
Design and scale AI-driven solutions using Generative AI, agentic AI, and semantic technologies to modernize enterprise data operations and enable intelligent automation in a highly regulated pharmaceutical environment.
Role type
Senior individual contributor AI Data Scientist
Builds
Scalable AI products, intelligent automation systems, and knowledge graph solutions for enterprise transformation
Domain
Pharmaceutical industry, enterprise data operations, regulatory compliance
Deliverable
production ML models | product features
Required skills
Generative AI, large language models, agentic AI, Python, SQL, AWS cloud services, AWS Bedrock, OpenAI APIs, Databricks, knowledge graph modeling, FAIR data principles
Preferred skills
Pharmaceutical lifecycle data, healthcare standards (FHIR, IDMP), machine learning/deep learning, clinical/laboratory data integration, content automation workflows
Technologies
Python, SQL, AWS, AWS Bedrock, OpenAI APIs, Databricks, Stardog, GraphDB
Responsibilities
Design and deploy AI solutions using LLMs and agentic patterns; build intelligent systems combining structured/unstructured data and knowledge graphs; develop and scale proof-of-concept solutions to enterprise products; analyze and integrate data from multiple enterprise sources; collaborate with stakeholders to translate business requirements into scalable AI solutions; ensure alignment with Responsible AI, security, privacy, and regulatory compliance (e.g., EU AI Act)
Seniority
Senior, hands-on IC