Principal Data Scientist, AI-Driven Data Products

Biopharma Careers; North Carolina; Hybrid; USD 117,000 - 201,000; Full time

Job summary

Johnson & Johnson is seeking a Principal Scientific Data Scientist to lead the design and evolution of AI-ready scientific data products across discovery and development. This role connects data across discovery, preclinical, clinical, safety, and real-world evidence to enable biomarker data assets and advanced analytics.

You will define data architecture, integration strategies, and governance to support semantic reasoning, knowledge graphs, and GraphRAG, collaborating with AI engineers and

Qualifications

• Master’s or PhD in Computer Science, Data Engineering, Bioinformatics, Biomedical Informatics or related field.

Responsibilities

• Lead design and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
• Define data architecture, integration strategy, and metadata framework for semantic reasoning and knowledge graphs.
• Partner with scientists, AI engineers, and platform teams to deliver scalable data pipelines and products.
• Develop reusable data products across discovery, translational science, and clinical development.

Skills

Data architecture

Data modeling

Data product design

Cloud-native data platforms

Metadata management

Data governance

Predictive model development

AWS-based data platforms

Data lakes and lakehouses

Distributed data processing

APIs and data services

Data cataloging and lineage

Knowledge graphs

Education

Master’s or PhD in Computer Science or related

Tools

AWS

SDTM

SEND

ADaM

Job description

Johnson & Johnson is seeking a Principal Scientific Data Scientist to lead the design and evolution of AI-ready scientific data products across discovery and development. This role connects data across discovery, preclinical, clinical, safety, and real-world evidence to enable biomarker data assets and advanced analytics.

You will define data architecture, integration strategies, and governance to support semantic reasoning, knowledge graphs, and GraphRAG, collaborating with AI engineers and