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Dir , Information Architecture - **Company:** Merck Sharp & Dohme LLC - **Location:** Boston, MA, United States - **Experience:** Expert - **Salary:** $142,400.0 - $224,100.0 - **Contract:** Permanent contract - **Skills:** Bioinformatics, Business Process Modeling, Electronic Data Capture, Graph Database, Information Sciences, Laboratory Information Management Systems, Operational Data Store, Raw Data, Requirements Management, Semantic Web, SPARQL, Information Technology, Data Management, GXP - **Published:** August 29, 2026 - **Apply:** https://www.juju.com/job/00000000gpn4kx ## About the Role * **Education:** Bachelor's or Master's degree in Life Sciences, Computer Science, Bioinformatics, Information Science, or a related field. * 5+ years of experience as an Information Architect or similar role within the Biopharmaceutical or Life Sciences industry. * Proven, hands-on experience working with industry-standard scientific ontologies, semantic web technologies (RDF, OWL, SPARQL), and knowledge graphs. * Hands on experience working with stakeholders to understand data needs in support of insights and defining data models to deliver reusable data products for a spectrum of needs * **Domain Knowledge:** * Deep understanding of pre-clinical discovery workflows and manufacturing process/method development. * Strong familiarity with dominant lab data capture solutions (LIMS, ELN, CDS, and lab endpoint software). * Experience with industrial time-series data and contextualization tools (e.g., OSIsoft PI). * **Technical Skills:** * Hands on experience with data modeling tools * Hands on experience with ontology management tools such as CENTree * Excellent analytical, problem-solving, and communication skills, with the ability to bridge the gap between scientific stakeholders and technical engineering teams., Business Enterprise Architecture (BEA), Business Process Modeling, Data Management, Data Modeling, Data Science, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Technical Advice ## Description We are seeking a highly skilled **Senior Information Architect** to lead the design, organization, and standardization of scientific data spanning across pre-clinical discovery and manufacturing process and method development. In this critical role, you will be responsible for working with scientists and scientific leaders to understand information needs of biopharma innovation and help define information architectural constructs (Ontologies and data models), controls and processes to improve quality and context of data in support of innovation. You will partner closely with R&D scientists, process engineers, and IT teams to harmonize complex biological, chemical, and operational data-from raw scientific outputs to GxP-compliant manufacturing data lakes. Key Responsibilities * Work with stakeholders to understand their key outcome needs and Insights from data that can support these outcomes * Embed in product teams enabling capture and consumption of scientific data, to help define/adopt ontologies and data models that support capture and consumption of data in service of these research outcomes * Working as a part of data capture product team, be a voice of activation for, and help define standards and controls for data and metadata to improve quality and context of data at capture * Lead the adoption and integration of industry-standard ontologies (such as BioAssay Ontology (BAO) and others) to contextualize scientific datasets (e.g., Raman spectra raw data, assay results) and manufacturing process parameters. * Develop and maintain best practices for capturing current state of information capture and consumption for entities relavent to research processes to help improve investment in data ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Best Companies to Work For in Berlin: Top 14 Companies in 2023 ](https://www.wearedevelopers.com/magazine/188-best-companies-to-work-for-in-berlin-top-14-companies-in-2023) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Best Companies to Work For in Germany: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/33-best-companies-to-work-for-in-germany-top-25-companies-in-2023) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)