Senior Data Scientist, Immunology Knowledge Graph

Johnson & Johnson Innovative Medicine; Spring House (PA); On-site; USD 117,000 - 201,250; Full time

Benefits offered by this job

Vacation – up to 120 hours per calendar year

Sick time – up to 40 hours per calendar year

Holiday pay, including Floating Holidays – up to 13 days per calendar year

Job summary

Johnson & Johnson Innovative Medicine is looking for a Principal Data Scientist – Knowledge Graph Engineer in Spring House, PA. This role involves designing a scalable knowledge graph infrastructure to standardize immunology R&D data.

The ideal candidate will have a Ph.D. or master's degree and significant experience in health informatics and knowledge graph construction. Excellent programming skills and expertise in semantic web technologies are crucial. An attractive salary and comprehensive benefits are offered.

Qualifications

• 5+ years professional experience in health informatics.
• Demonstrated experience in large‑scale knowledge graph construction.
• Proficiency in various data storage solutions (SQL, key‑value, column, document, graph stores).

Responsibilities

• Design and implement a scalable knowledge graph infrastructure focused on data standardization.
• Work with a community of Data Scientists to standardize and curate AI‑Ready datasets.
• Deploy and manage graph database infrastructure with high availability.

Skills

Advanced Analytics

Coaching

Critical Thinking

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Visualization

Digital Fluency

Strategic Thinking

Education

Ph.D. or master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics

Tools

SPARQL

RDF

OWL

Neo4j

Amazon Neptune

Job description

Johnson & Johnson Innovative Medicine is looking for a Principal Data Scientist – Knowledge Graph Engineer in Spring House, PA. This role involves designing a scalable knowledge graph infrastructure to standardize immunology R&D data.

The ideal candidate will have a Ph.D. or master's degree and significant experience in health informatics and knowledge graph construction. Excellent programming skills and expertise in semantic web technologies are crucial. An attractive salary and comprehensive benefits are offered.