Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy And Products

Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy And Products

Johnson & Johnson Innovative Medicine is recruiting for a Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy And Products. The primary location is Barcelona or Madrid, Spain but is also open to Titusville, NJ; Spring House, PA; or Cambridge, MA.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Engineers like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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.

Job 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.

The anticipated base pay range for this position is: 146,200 USD - 197,800 USD

Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below.