Principal Scientist, AI-Driven Drug Discovery

Biopharma Asia; Pennsylvania; On-site; USD 150,000 - 220,000; Full time

Job summary

Johnson & Johnson’s Innovative Medicine data science organization seeks a Principal Scientific Data Scientist to lead AI-ready data products across discovery to pharmacovigilance. You will shape data architecture, integration, and metadata frameworks to connect discovery, preclinical, clinical, safety, and real-world evidence domains.

Work with scientists, AI engineers, and platform teams to deliver scalable data products on AWS, enabling semantic reasoning, knowledge graphs, and advanced

Qualifications

• 5+ years of experience in scientific data engineering, data architecture, data products, or life sciences informatics.
• Demonstrated experience designing and delivering enterprise-scale scientific data products.
• Experience supporting drug discovery, development, clinical research, or pharmacovigilance organizations.
• Experience developing predictive models in drug discovery, development, clinical research, or pharmacovigilance organizations.
• Strong expertise in data architecture, data modeling, data product design, cloud-native data platforms, metadata management, data governance, and predictive model development.

Responsibilities

• Define and execute a scientific data product strategy supporting Discovery Research, Translational Science, Preclinical Safety, Clinical Development, Pharmacovigilance and Real-World Evidence.
• Establish reusable, scalable data products that support analytics, AI, knowledge graphs, and scientific reasoning use cases.
• Design integration frameworks connecting heterogeneous scientific data sources.
• Define data harmonization spanning SEND, SDTM, ADaM, MedDRA, Imaging, Omics, Biomarker, Pathology, Real-world data.
• Define implementation strategy for scientific data products deployed on AWS.
• Partner with AWS engineering and deployed platform resources to deliver scalable data pipelines.
• Provide technical leadership and architectural oversight for data strategy recommendations.
• Ensure digital solutions align with enterprise architecture, security, governance, and AI-readiness.

Skills

Data architecture

Data modeling

Data product design

Cloud-native data platforms

Metadata management

Data governance

Predictive model development

AWS

Education

Master’s or PhD in Computer Science

Master’s or PhD in Data Engineering

Master’s or PhD in Bioinformatics

Master’s or PhD in Biomedical Informatics

Master’s or PhD in Information Systems

Master’s or PhD in Computational Biology

Master’s or PhD in Related scientific discipline

Tools

AWS

Job description

Johnson & Johnson’s Innovative Medicine data science organization seeks a Principal Scientific Data Scientist to lead AI-ready data products across discovery to pharmacovigilance. You will shape data architecture, integration, and metadata frameworks to connect discovery, preclinical, clinical, safety, and real-world evidence domains.

Work with scientists, AI engineers, and platform teams to deliver scalable data products on AWS, enabling semantic reasoning, knowledge graphs, and advanced