Hybrid Data & AI Intern — Digital Quality

Johnson & Johnson Innovative Medicine; Raritan (NJ); Hybrid; USD 33,000 - 73,000; Full time

Job summary

Johnson & Johnson Innovative Medicine invites Sophomores, Juniors, and rising seniors to join the Technology and Digital Quality internship for the 2027 summer term. The role blends on-site collaboration with remote work two days a week in a hybrid model.

You will analyze business processes, build data-driven insights, and support leadership with data-backed recommendations. The program emphasizes hands-on learning, cross-functional collaboration, and preparation for careers in pharmaceutical

Qualifications

• Pursuing a bachelor’s or master’s degree in a related field (science, data, engineering, or technology).
• Enrollment in accredited college/university for the internship period; ability to work full-time during term.
• Strong analytical skills with ability to present data findings to technical and non-technical partners.
• Familiarity with data analysis tools and visualization platforms is preferred.
• Interest in AI, digital technologies, and data-driven decision making.

Responsibilities

• Analyze end-to-end business processes and translate needs into digital solutions.
• Collect, clean, and prepare datasets from databases, APIs, and spreadsheets.
• Develop visualizations and dashboards to communicate findings to stakeholders.
• Support data-driven decision making and strategic initiatives across T&DQ functions.
• Collaborate with QA-Ops, finance, and operations to understand data needs.

Skills

Analytical thinking

Data storytelling

Team collaboration

Education

Bachelor’s or Master’s student

Tools

Python

R

SQL

Tableau

Power BI

Excel

AWS

Azure

Google Cloud

Power Platform

Job description

Johnson & Johnson Innovative Medicine invites Sophomores, Juniors, and rising seniors to join the Technology and Digital Quality internship for the 2027 summer term. The role blends on-site collaboration with remote work two days a week in a hybrid model.

You will analyze business processes, build data-driven insights, and support leadership with data-backed recommendations. The program emphasizes hands-on learning, cross-functional collaboration, and preparation for careers in pharmaceutical