Knowledge Graph Engineer, Drug Discovery Data Engineering and Solutions - Spring House Pennsylvania

Company: Disability Solutions
Location: Spring House, Pennsylvania
Posted On: 05/03/2024

J&J Innovative Medicine ("J&J IM"), a Johnson & Johnson company, is recruiting for a Knowledge Graph Engineer, Drug Discovery Data Engineering and Solutions. The primary location for this position is flexible - either; Titusville, NJ; Spring House, PA; San Diego, CA; Boston, MA; but considerations will be given for alternate locations and remote work. J&J Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology; Immunology; Neuroscience; and Cardiovascular, Metabolism & Retina. Our ultimate goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about J&J Innovative Medicine, visit . Data Science Solutions, Privacy & Ethics team is part of J&J Innovative Medicine's Data Science and Digital Health department. This team focuses on building innovated data products and solutions for the entire drug discovery and development value chain: from target ID/Validation, molecule design, product development, clinical trial design, digital end points, clinical trial operations, and using real world data to advance our portfolio. 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 Science Solutions, Privacy & Ethics team. This pivotal role involves architecting, building, and maintaining a sophisticated knowledge graph infrastructure that integrates diverse biomedical data sources to support drug discovery, personalized medicine, and advanced research initiatives. The candidate is a leading technical contributor and creative problem solver with a strong background in semantic technologies, ontology, graph-based data modeling, and a deep understanding of the life sciences domain.

• Lead the design and development of a scalable knowledge graph infrastructure focusing on biomedical data. Support J&J IM Data Science Portfolio's R&D efforts aimed at target ID/Validation, drug design, and knowledge synthesis.
• Collaborate with interdisciplinary teams to map complex biomedical relationships in the knowledge graph.
• Integrate new data sources, technologies, and tools into the knowledge graph infrastructure.
• Develop and maintain ontologies representing domain-specific knowledge in healthcare and life sciences for drug discovery.
• Apply graph-based data modeling techniques for efficient organization, integration, and data retrieval to ensure system flexibility and maintainability.
• Coordinate with advanced analytics and machine learning teams to use knowledge graph for insights, predictions, and innovation in drug discovery and development.
• Collaborate with multi-functional teams to translate business challenges into knowledge-graph-based technical solutions.
• Develop and optimize high-performance graph query services and incorporate complex data retrieval systems for NLP-based data discovery.
• Work with IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations.
• Promote standard methodologies in knowledge graph development, offering workshops, and training sessions for key collaborators.
• Create and be responsible for documentation, such as data dictionaries, data lineage, and data flow diagrams, to facilitate understanding of the knowledge graph. More...

      

  ---

  Register an account with us and set up job agents! We'll email you immediately when jobs like this are posted on our site.

  ---