Immunology Knowledge Graph Lead Data Scientist

Johnson & Johnson Innovative Medicine; Cambridge (MA); 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 – up to 13 days per calendar year

Work, Personal and Family Time – up to 40 hours per calendar year

Job summary

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist – Knowledge Graph Engineer to join the Immunology R&D team. This on-site role focuses on creating a scalable knowledge graph infrastructure for Immunology data, requiring collaboration with cross-functional teams and the integration of AI-ready datasets.

The ideal candidate will have a Ph.D. or master's in relevant fields, significant experience in health informatics, and a strong background in semantic web technologies.

Qualifications

• 5+ years professional experience in health informatics.
• Experience in large-scale knowledge graph construction.
• Proficiency in semantic web technologies.
• Ability to manage multiple projects concurrently.

Responsibilities

• Design and implement knowledge graph infrastructure.
• Collaborate with Data Scientists to standardize datasets.
• Develop ingestion and curation pipelines.
• Draft documentation such as data lineage and flow diagrams.

Skills

Advanced Analytics

Data Science

Data Analysis

Data Visualization

Critical Thinking

Process Improvements

Technical Credibility

Strategic Thinking

Education

Ph.D. or master's degree in bioengineering, computer science

Tools

SPARQL

Neo4j

Docker

GitLab

Job description

Johnson & Johnson Innovative Medicine is seeking a Principal Data Scientist – Knowledge Graph Engineer to join the Immunology R&D team. This on-site role focuses on creating a scalable knowledge graph infrastructure for Immunology data, requiring collaboration with cross-functional teams and the integration of AI-ready datasets.

The ideal candidate will have a Ph.D. or master's in relevant fields, significant experience in health informatics, and a strong background in semantic web technologies.