Immunology Knowledge Graph Lead Data Scientist

Johnson & Johnson Innovative Medicine; Raritan (NJ); 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 13 days per calendar year

Job summary

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist – Knowledge Graph Engineer to join their Immunology R&D Data Science & Digital Health team. The role involves designing knowledge graph infrastructure focusing on data interoperability and standardization for Immunology R&D data.

This position requires collaboration with data scientists and stakeholders, ensuring efficient organization and retrieval of data sets. Candidates should have a strong background in health informatics and be well-versed in semantic technologies.

Qualifications

• 5+ years of professional experience in health informatics.
• Experience in large‑scale knowledge graph construction.
• Demonstrated stakeholder management capabilities.

Responsibilities

• Design and implement a scalable knowledge graph infrastructure.
• Work with Data Scientists and Clinical Scientists to standardize data.
• Draft and manage documentation for the knowledge graph.

Skills

Advanced Analytics

Data Science

Critical Thinking

Data Analysis

Data Visualization

Education

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

Tools

Neo4j

Amazon Neptune

SPARQL

Docker

Job description

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist – Knowledge Graph Engineer to join their Immunology R&D Data Science & Digital Health team. The role involves designing knowledge graph infrastructure focusing on data interoperability and standardization for Immunology R&D data.

This position requires collaboration with data scientists and stakeholders, ensuring efficient organization and retrieval of data sets. Candidates should have a strong background in health informatics and be well-versed in semantic technologies.