04 ago
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Biorce
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Barcelona
ph3About the company /h3 pBiorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes. /p pOur team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting-edge technology and real-world clinical needs. /p pWith an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost-effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity. /p h3About the role /h3 pWe are seeking a bSenior Research/AI Engineer /b with specific expertise in bKnowledge Graphs (KGs) /b and their synergy with bLarge Language Models (LLMs) /b. This role is critical for building a structured knowledge foundation that enhances our AI solutions, adding context, reasoning, and explainability to our Generative AI systems. /p pbKey Responsibilities: /b /p ul liDesign and Ontology Engineering: Design and evolve the formal ontology and semantic models (e.g., RDF, OWL) for our knowledge graph, accurately capturing complex domain knowledge and relationships. /li liGraph Development Implementation: Design, build, and optimize the knowledge graph architecture using graph database technologies (e.g., Neo4j, JanusGraph, Amazon Neptune). /li liData Integration ETL: Develop scalable, robust data pipelines and ETL processes to ingest, transform,
and map diverse data sources into the graph structure while ensuring data quality and integrity. /li liQuerying and Analytics: Write complex, high-performance graph queries (e.g., Cypher, SPARQL) and develop advanced graph analytics and algorithms (e.g., shortest path, community detection) to extract insights. /li liCollaboration: Work closely with Data Scientists, ML Engineers, Product Managers, and domain experts to translate business requirements into technical knowledge graph solutions that power search, recommendations, and AI/ML applications. /li liPerformance Tuning: Monitor, analyze, and optimize the performance of the graph database and associated pipelines for scalability and real-time query speed. /li /ul pbEssential Requirements: /b /p ul liMinimum of 3+ years of hands-on experience in designing and implementing large-scale Knowledge Graphs in a production environment. /li liDeep expertise in ontology engineering, semantic modeling, and experience with standards like RDF, RDFS, OWL, and SPARQL. /li liProficiency with at least one major graph database (e.g., Neo4j, TigerGraph, AWS Neptune). /li liPractical experience integrating LLMs with Knowledge Graphs (e.g., RAG, KG-powered AI agents).
/li liStrong programming skills in languages essential for data engineering, primarily Python. /li liExperience applying NLP techniques for text processing and structuring (NER, relation extraction). /li liExcellent problem-solving skills and the ability to work collaboratively in a fast-paced, agile environment. /li liExcellent communication skills and ability to articulate complex AI concepts to diverse audiences. /li /ul pbDesired Skills (A Plus): /b /p ul liMaster's or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field. /li liContributions to research (publications in top-tier conferences) or open-source projects. /li liExperience with Google Cloud Platform and Vertex AI /li liKnowledge of Natural Language Processing (NLP) techniques for information and entity extraction to populate the knowledge graph. /li liFamiliarity with Graph Machine Learning (e.g., GNNs - Graph Neural Networks). /li /ul pbWhy Join Us? /b /p ul liWork alongside top talent, united by a shared purpose and committed to making a real impact. /li liComprehensive private health coverage to ensure your physical and mental well-being. /li liCompany-sponsored gym membership to support your fitness goals. /li liHybrid work model offering flexibility to balance your professional and personal life. /li liCoffee, tea, beverages, and snacks to keep you fueled throughout the day. /li liCompany events to celebrate achievements and enjoy time together. /li liGet equipped with a MacBook to enhance your productivity and work experience. /li /ul /p #J-18808-Ljbffr
📌 Senior AI Research Engineer - Knowledge Graphs (Barcelona)
🏢 Biorce
📍 Barcelona