KNOWLEDGE GRAPH ENGINEER, DRUG DISCOVERY DATA ENGINEERING AND SOLUTIONS

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 https://www.
nj.
om/innovative-medicine.
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.
Qualifications Desired Ph.
.
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 of professional experience, 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).
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).
Proven work with complex biomedical datasets, including genomics, proteomics, and high-throughput screening data.
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.
Proven record leading improvement initiatives with multi-disciplinary and remote partners.
Excellent skills in customer focus, networking, communication, presentation; experience in line and multi-functional management styles.
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.
Expected Salary.
$ Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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