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Urgent! Knowledge Graph Engineer, R&D Data Science & Digital Health - Data Strategy and Products Job Opening In Titusville – Now Hiring J&J Family of Companies
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 P** **ro** **d** **uct** **s** .
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 infrastructurefocused on data standardization and interoperability.
+ Curate and extend ontologies for clear mapping intoestablished biomedicalontologies 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 pipelinesto ingest, normalize and map concepts across datasources.
+ 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.
#JRDDS **#JNJDataScience**
**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.
https://www.careers.jnj.com/employee-benefits
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Unlock Your Knowledge Graph Potential: Insight & Career Growth Guide
Real-time Knowledge Graph Jobs Trends in Titusville, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Knowledge Graph in Titusville, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1049 jobs in United States and 4 jobs in Titusville. This comprehensive analysis highlights market share and opportunities for professionals in Knowledge Graph roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! J&J Family of Companies is currently hiring and seeking a Knowledge Graph Engineer, R&D Data Science & Digital Health Data Strategy and Products to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at J&J Family of Companies adheres to the cultural norms as outlined by Expertini.
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Key qualifications for Knowledge Graph Engineer, R&D Data Science & Digital Health Data Strategy and Products typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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