Johnson & Johnson Innovative Medicine is recruiting for a Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and Products
Location: Barcelona or Madrid, Spain
Job Responsibilities
* Contribute to the design and implementation of a scalable knowledge graph infrastructure focused on data standardization and interoperability.
* Curate and extend ontologies for clear mapping into established biomedical ontologies and controlled terminologies using RDF standards.
* Apply graph-based data modeling for efficient organization, integration and retrieval to ensure system flexibility and long-term maintainability.
* Stand up SPARQL/GraphQL/REST services; develop ingestion and curation pipelines to ingest, normalize and map concepts across data sources.
* Extend and curate ontologies (e.g., diseases, drugs, targets, pathways, etc.) and maintain synonyms, cross-references, and provenance.
* Partner with cross-functional teams to enable NLP/RAG over graphs, features for predictive modeling and terminology services for search and study design tools.
* Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations.
* Create and be responsible for documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph.
Qualifications
* Desired Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics, or related fields, emphasis on semantic technologies and biomedical application.
* At least 5 years professional experience in health informatics, or at least 7 years of professional experience or with additional consideration for candidates with graduate degrees or equivalent experience.
* Programming background in parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs).
* Demonstrated experience in large-scale knowledge graphs construction, ontology development, pharmaceutical or healthcare domains integration.
* Proficiency in semantic web technologies (SPARQL, RDF, OWL), familiarity with graph databases (Neo4j, Amazon Neptune).
* Proven work with complex biomedical datasets, including genomics, proteomics, and high-throughput screening data.
* Impressive records in a pharmaceutical, biotech, or related research environment are preferred. Proficiency in various data storage solutions (SQL, key-value, column, document, graph stores) and data modeling techniques (semantic data, ontologies, taxonomies).
* Experience in CI/CD implementations, git usage, CI/CD stacks (Jenkins, GitLab, Azure DevOps), DevOps tools, metrics/monitoring, and containerization technologies (Docker, Singularity).
* Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
* Demonstrated agile decision-making, performance management, continuous learning, and commitment to quality.
* Ability to multi-task, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
* Capacity to translate discussions into user requirements and project plans.
* Willingness to travel less than 25% to conferences and internal meetings.
Preferred Skills
* Advanced Analytics
* Coaching
* Critical Thinking
* Data Analysis
* Data Privacy Standards
* Data Quality
* Data Reporting
* Data Savvy
* Data Science
* Data Visualization
* Digital Fluency
* Econometric Models
* Organizing
* Process Improvements
* Strategic Thinking
* Technical Credibility
* Workflow Analysis
We provide an inclusive work environment where each person is considered as an individual.
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