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

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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. 

Learn more at https://www.jnj.com/innovative-medicine 

Job Responsibilities  

We are committed to using innovative technology to improve healthcare outcomes worldwide.

As part of this mission, we are seeking a Knowledge Graph Engineer to join our Data Strategy and Products team to standardize and connect biomedical and clinical data.  You will be a hands-on technical contributor with depth in semantic technologies, ontology, and graph data modeling, plus strong familiarity with the life sciences domain.    

You will connect enterprise master data with R&D data across the entire product lifecycle so trusted, interoperable knowledge powers analytics, search, and AI across Johnson and Johnson Innovative Medicine.  


* 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.  

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