Johnson & Johnson Innovative Medicine is hiring a Principal Data Scientist specializing in Knowledge Graph Engineering for their Immunology R&D Data Science & Digital Health team. This hands-on role involves designing and implementing scalable knowledge graph infrastructure to standardize and connect biomedical and clinical data across the product lifecycle, ensuring interoperability and supporting analytics, search, and AI applications. Key responsibilities include developing graph-based models, curating ontologies using RDF standards, integrating SPARQL/GraphQL services, and collaborating with cross-functional teams to enable advanced features for predictive modeling and terminology services. The ideal candidate has a Ph.D. or master's degree in bioinformatics or related fields, 5+ years of experience in health informatics, expertise in semantic web technologies like SPARQL and RDF, proficiency in graph databases such as Neo4j, and familiarity with CI/CD stacks and DevOps tools. This role requires strong stakeholder management skills and the ability to manage multiple projects simultaneously while ensuring high availability and scalability of the knowledge graph infrastructure.
Design and implement a scalable knowledge graph infrastructure for Immunology R&D data.
Apply graph-based data modeling to organize, integrate, and retrieve Immunology R&D data efficiently.
Curate ontologies using RDF standards to map into established biomedical ontologies and controlled terminologies.
Develop ingestion pipelines to normalize and map concepts across diverse data sources.
Extend immunology-relevant ontologies and maintain synonyms, cross-references, and provenance.
Draft documentation such as data dictionaries and flow diagrams for the knowledge graph infrastructure.
What we're looking for
5+ years of professional experience in health informatics and semantic technologies for biomedical applications.
Expertise in large-scale knowledge graph construction, ontology development, and data integration in pharmaceutical or healthcare domains.
Proficiency in programming with parser combinators, natural language processing, and linked data (RDF Triple Stores and property graphs).
Strong skills in semantic web technologies including SPARQL, RDF, OWL, and familiarity with Neo4j and Amazon Neptune graph databases.
Experience managing complex biomedical datasets such as clinical, genomics, and proteomics data.
Proficiency in various data storage solutions and data modeling techniques (SQL, key-value, column, document, graph stores).
Demonstrated ability to manage multiple projects simultaneously, prioritize work, and deliver maximum business value.
Market check
Salary context
This
$117,000–$201,250
range sits above
35%
of similar postings on FindRole.
Peer median band
$110,000–$220,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$135,000–$197,820
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Johnson & Johnson
Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices
Johnson & Johnson currently has
46 open roles
on FindRole.
Listed pay typically runs
$122,000–$211,025
across 45 roles with salary data.