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Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
Scientific/Technology
All Job Posting Locations:
Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Position Summary
The Principal Scientific Data Scientist will lead the design, implementation, and evolution of scientific data products and integration strategies supporting AI-enabled drug discovery and development.
This individual will be responsible for creating scalable, interoperable, and AI-ready data products that connect discovery, preclinical, clinical, safety, and real-world evidence domains, and enable the creation of validated-biomarker data assets . The role will establish the data architecture, integration strategy, metadata framework, and productization approach needed to support semantic reasoning, knowledge graphs, GraphRAG, advanced analytics, and agentic AI applications.
Working closely with scientific stakeholders, knowledge architects, AI engineers, and Amazon BioDiscovery platform teams, this individual will define the future-state scientific data ecosystem and ensure high-quality data products are delivered to support translational science and patient safety initiatives.
Build AI reasoning models to support data-driven translational safety decision making.
Mission
Build and operationalize AI-ready scientific data products that enable seamless integration, harmonization, and reuse of data across the drug discovery and development lifecycle.
Key Responsibilities
Scientific Data Product Strategy
Define and execute a scientific data product strategy supporting:
Discovery Research
Translational Science
Preclinical Safety
Clinical Development
Pharmacovigilance
Real-World Evidence
Establish reusable, scalable data products that support analytics, AI, knowledge graph, and scientific reasoning use cases.
Develop product roadmaps aligned with organizational priorities and scientific objectives.
Data Integration Architecture
Design integration frameworks connecting heterogeneous scientific data sources.
Define data harmonization strategies spanning:
SEND
SDTM
ADaM
MedDRA
Imaging
Omics
Biomarker
Pathology
Real-world data
Create architecture patterns supporting cross-domain data interoperability.
Digital Platform Leadership
Define the implementation strategy for scientific data products deployed on AWS
Partner with Amazon engineering and deployed platform resources to deliver scalable data pipelines and data products.
Provide technical leadership and architectural oversight for implementation activities aligned…