Research Engineer, Knowledge Systems

Il y a 6 heures

Diepenbeek, Flanders, Belgique MindWalk Holdings Corp. Temps plein

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h3Position /h3h3Europe /h3h3Research Engineer, Knowledge Systems /h3pMindWalk is a global biologics discovery company integrating Bio-native AI, deep data, and advanced lab research to accelerate discovery and development of therapeutic, anti-drug and diagnostic antibodies, peptide-based therapies, vaccines and beyond. We deliver end-to-end solutions spanning target exploration, discovery, engineering, characterization, production, and humanization—available as full-service partnerships, existing asset co-development or modular SaaS access. We partner with leading biotech and pharmaceutical organizations, applying our unified biointelligence ecosystem to advance next-generation biologics that improve lives. /pbJob Description: /bpWe're looking for a hands-on engineer to architect how biological information flows through MindWalk, from raw data to something scientists and AI agents can actually use. You'll define the data domains, models, metadata, and access patterns that turn scattered biological data into a coherent, navigable system. /ppOntology and formal knowledge representation are part of the job, but the core of this role is information architecture: deciding how information is organized, versioned, cataloged, and served so it stays trustworthy as it scales. /pbKey

responsibilities:
/bulliReal production experience with data and information architecture: modeling, authoritative sources, lineage, contracts, and storage trade-offs. /liliExperience designing metadata models, catalogs, or registries for findability and retrieval. /liliSome working knowledge of RDF/OWL/SHACL or comparable knowledge-representation tools. /liliExperience in biomedical, pharmaceutical, or another evidence-heavy scientific domain. /liliAn MSc or PhD in a relevant field, or equivalent experience. /liliGood written and oral communication skills in English. /li /ulbRequirements: /bulliReal production experience with data and information architecture: modeling, authoritative sources, lineage, contracts, and storage trade-offs. /liliExperience designing metadata models, catalogs, or registries for findability and retrieval. /liliSome working knowledge of RDF/OWL/SHACL or comparable knowledge-representation tools. /liliExperience in biomedical, pharmaceutical, or another evidence-heavy scientific domain. /liliAn MSc or PhD in a relevant field, or equivalent experience. /liliGood written and oral communication skills in English. /li /ulb Strong candidates may also have: /bulliOntology tooling such as LinkML, ROBOT, or SSSOM. /liliAgent frameworks like LangGraph or Model Context Protocol, or hybrid graph/vector retrieval. /liliAWS or other cloud-native deployment experience. /liliFamiliarity with FAIR data principles or regulated scientific environments. /liliWorking knowledge of Information Management domains like Master Data Management (MDM), Data Governance, and Data Security. /li /ul

Research Engineer, Knowledge Systems

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Research Engineer, Knowledge Systems

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