Context Engineer – Pharmaceutical, Life Sciences

🔥 3 minutes ago

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

💵 $90 - $95 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2019-01

Healthcare • Insurance • Logistics

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Analyze and engineer data sources relevant to pharmaceutical commercial operations and drug development • Build and maintain semantic layers, ontologies, taxonomies, and knowledge representations for AI-driven applications • Map pharmaceutical entities, products, and terminology to standardized, normalized, preferred terms • Work with pharmaceutical controlled vocabularies and ontologies to improve data consistency, discoverability, and interoperability • Support entity resolution, terminology mapping, data normalization, and semantic data integration across multiple sources, particularly within a commercial setting • Collaborate with data engineering, analytics, and AI teams to improve data quality and context for downstream applications • Structure domain-specific information to support accurate and reliable AI retrieval and responses

🎯 Requirements

• Experience in biopharmaceutical data, particularly in an omnichannel marketing setting • Strong understanding of pharmaceutical terminology, controlled vocabularies, and data standards related to drug development and commercialization domains • Hands-on experience with SNOMED CT, MedDRA, and/or RxNorm • Experience with data engineering, data modeling, entity resolution, terminology mapping, or data normalization • Familiarity with ontologies, taxonomies, knowledge graphs, or semantic layers • Ability to work with cross-functional teams, including Analytics, Data Engineering, and AI/ML • Preferred: Experience with pharmaceutical commercial data, product data, reference data, or master data management • Preferred: Exposure to AI/ML, Generative AI, RAG, semantic search, or context engineering • Preferred: Experience integrating data from multiple sources and aligning entities to standardized terminology

🏖️ Benefits

• Great Place to Work® certification year after year • Long-term engagement

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