Spring House, Pennsylvania, United States of America
Base: $109,000 to $174,800; bonus/equity: annual p...
Hybrid (some office presence required; no fully remote option)
Ontology engineering with owl and rdf
Semantic web technologies proficiency
Graph-based data modeling
Johnson & Johnson is seeking a Senior Data Scientist specializing in Oncology to join their Data Science and Digital Health team. The role focuses on semantic technologies and ontology engineering to enhance data interoperability in pharmaceutical R&D, requiring strong technical expertise and project management skills
Job Summary
Join Johnson & Johnson Innovative Medicine to develop treatments and pioneer the path from lab to life while championing patients every step of the way.
The Senior Data Scientist- Oncology will design, build, and govern the semantic backbone connecting data across the pharmaceutical life cycle to power interoperability and AI applications.
Employees may be eligible for competitive compensation, performance bonuses, comprehensive benefits, and time off including vacation, sick time, and holidays.
Matching Summary
Match Score: 85
Johnson & Johnson is seeking a Senior Data Scientist specializing in Oncology to join their Data Science and Digital Health team. The role focuses on semantic technologies and ontology engineering to enhance data interoperability in pharmaceutical R&D, requiring strong technical expertise and project management skills.
Salary
Base: $109,000 to $174,800; Bonus/Equity: Annual performance bonus discretionary; Benefits: Medical, dental, vision, life insurance, disability, retirement plans, paid time off
Skills & Requirements
Must-have
Ontology engineering with OWL and RDF
Semantic web technologies proficiency
Graph-based data modeling
SPARQL query development
Biomedical data standardization
CI/CD and DevOps tool experience
Nice-to-have
Stakeholder management skills
Project delivery and organizational change
Experience with large-scale knowledge graphs
Ability to manage multiple projects
Collaborative and problem-solving mindset
Key Requirements
Ph.D. or master’s degree in related fields
3-5+ years ontology and knowledge modeling experience
Experience with semantic technologies and biomedical applications
Willingness to travel up to 15%
Ability to translate business requirements into technical solutions