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Context Engineer with pharmaceutical or life sciences domain experience - R01572930

2 weeks ago
United States
Full-time
Mid Level
AI Engineer
Data Science and Analytics
Generative AI Machine Learning
Apply Now
Brillio

Brillio

Brillio is a global leader in Enterprise Digital Transformation Solutions, partnering with companies to drive business improvement and competitiveness through innovative technology solutions.

IT Services
1001-5000
Founded 2014
View All Jobs 16

Description

  • Analyze data sources supporting pharmaceutical commercial operations and drug development.
  • Build and maintain semantic layers, ontologies, taxonomies, and knowledge representations for AI applications.
  • Map pharmaceutical entities, products, and terminology to standardized preferred terms.
  • Use controlled vocabularies and ontologies to improve data consistency, discoverability, and interoperability.
  • Support entity resolution, terminology mapping, data normalization, and semantic integration across multiple data sources.
  • Collaborate with data engineering, analytics, and AI teams to improve data quality and application context.
  • Structure domain information to support accurate AI retrieval and responses.

Requirements

  • Experience with biopharmaceutical data, particularly in an omnichannel marketing environment.
  • Strong knowledge of pharmaceutical terminology, controlled vocabularies, and data standards for drug development and commercialization.
  • Hands-on experience with one or more of SNOMED CT, MedDRA, or RxNorm.
  • Experience in data engineering, data modeling, entity resolution, terminology mapping, or data normalization.
  • Familiarity with ontologies, taxonomies, knowledge graphs, or semantic layers.
  • Ability to collaborate with Analytics, Data Engineering, and AI/ML teams.
  • Experience with pharmaceutical commercial, product, reference, or master data management (preferred).
  • Exposure to AI/ML, generative AI, RAG, semantic search, or context engineering (preferred).
  • Experience integrating multiple data sources and aligning entities to standardized terminology (preferred).
  • Scientific research experience is beneficial.

Interested in this position?

Apply directly on the company website

Apply Now

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