AI Data Scientist, OTDS – Manager (Individual Contributor)
Core
Design and scale enterprise-grade AI solutions (Generative AI, agentic AI, semantic technologies) to modernize data governance and content creation across the pharmaceutical operations domain.
Role type
Manager (Individual Contributor) AI Data Scientist
Builds
Enterprise AI solutions, intelligent systems, and scalable data platforms for regulatory and operational use cases.
Domain
Life Sciences / Pharmaceutical Operations / Generative AI
Deliverable
production ML models | product features
Required skills
Generative AI, large language models, agentic AI patterns, Python, SQL, AWS cloud services, AWS Bedrock, OpenAI APIs, Databricks, knowledge graphs, semantic data models, FAIR data principles, Responsible AI governance
Preferred skills
Life sciences/pharmaceutical domain experience, regulatory data standards (FHIR, IDMP), machine learning/deep learning techniques, clinical/manufacturing/quality system integration
Technologies
AWS, Databricks, OpenAI APIs, AWS Bedrock, Stardog, GraphDB
Responsibilities
Design and oversee development of AI solutions using Generative AI and agentic AI patterns; Guide development of intelligent systems combining structured/unstructured data and knowledge graphs; Ensure transition of solutions from proof-of-concept to scalable enterprise products; Provide technical leadership in Python, SQL, and AI system design; Collaborate with stakeholders to define high-impact AI use cases; Establish standards for Responsible AI, model governance, and compliance (e.g., EU AI Act)
Seniority
Manager, hands-on IC with strategic influence
