Johnson & Johnson Innovative Medicine · 17 hours ago
Data Standardization Intern
Johnson & Johnson is a leader in healthcare innovation, committed to delivering breakthroughs that profoundly impact health for humanity. The Data Standardization Intern will support strategic initiatives focused on data standardization, data connectivity, and the development of AI-ready datasets, gaining hands-on experience in data engineering and AI enablement within a scientific context.
Pharmaceuticals
Responsibilities
Support ongoing data standardization efforts, including harmonization of data structures, formats, and terminologies across multiple scientific and operational data sources
Assist in the development and enhancement of data connectivity frameworks that improve interoperability between platforms, pipelines, and analytical systems
Contribute to the preparation of AI-ready datasets by implementing best practices in schema management, metadata curation, lineage documentation, and quality assessment
Conduct exploratory data analyses to evaluate data completeness, consistency, and harmonization needs
Collaborate with cross-functional partners—including Data Engineering, Data Governance, and AI/ML teams—to capture requirements and support delivery of standardized data assets
Document workflows, data definitions, technical decisions, and process improvements to support organizational knowledge sharing and operational scalability
Assist in prototyping or testing automation approaches for data validation, transformation, and standardization where appropriate
Qualification
Required
Currently pursuing a bachelor's, master's or Ph.D's degree in Data Science, Computer Science, Information Systems, Bioinformatics, Engineering, or a related discipline
Foundational knowledge of Python, SQL, or equivalent programming languages for data manipulation and analysis
Understanding of core data concepts, including data models, schemas, metadata, ontologies, and data governance principles
Demonstrated interest in AI systems, data engineering, or machine learning workflows
Strong analytical and problem‑solving skills, with exceptional attention to detail
Effective communication skills and the ability to work both independently and collaboratively
Preferred
Familiarity with scientific or clinical data standards such as CDISC, FHIR, OMOP, internal ontologies, or FAIR data principles
Exposure to modern cloud platforms (e.g., Azure, AWS) and data tooling
Experience with workflow orchestration tools (e.g., Nextflow, Airflow) or scientific data pipelines
Understanding of R&D, clinical, omics, or experimental data environments
Benefits
Co-Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the plan.
Co-Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington, up to 56 hours per calendar year.
Co-Ops and Interns are eligible to participate in the Company’s consolidated retirement plan (pension).
Company
Johnson & Johnson Innovative Medicine
Johnson and Johnson Innovative Medicine focuses on developing medical solutions for some of the challenging diseases and medical conditions.
Funding
Current Stage
Late StageRecent News
2025-08-14
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