TDQ Intern

About the Role

This is a Technology and Digital Quality (TDQ) Internship within Johnson & Johnson's MedTech organization, focused on a hybrid work model (3 days on-site, 2 days remote).

Key Responsibilities

• Analyze business processes and data to support decision-making.
• Analyze business challenges and formulate recommendations for improvement.
• Contribute to data-driven strategies across various T&DQ functions.
• Gather, analyze, and interpret data to help the organization make informed decisions.
• Understand and analyze end-to-end business processes and translate needs into digital solutions by building product backlogs in the form of user stories.
• Assist in collecting, cleaning, and preparing datasets for analysis from various sources.
• Perform statistical analysis and data mining to identify patterns, correlations, and insights into business data.
• Develop visualizations and dashboards using tools such as Tableau, Power BI, or Excel to communicate data findings.
• Create automated workflows for data extraction, transformation, and reporting using Python, R, or SQL.
• Support validation activities for AI and digital technologies that enable innovative solutions while maintaining regulatory and compliance standards.
• Analyze data to support business decisions and pivotal initiatives, and partner to put together recommendations for leadership.
• Work closely with various departments to understand their data needs and provide actionable insights.
• Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
• Improve industry knowledge through open forum conversations with senior company leaders and shadowing T&DQ personnel.
• Present learnings and development experience to leadership.
• Connect with and support local towns through community activities.

Requirements & Tech Stack

• Permanent US work authorization without the need for sponsorship.
• Enrollment in an accredited college/university.
• By start date, must be considered an undergraduate sophomore or above. Master’s students must have earned undergraduate degree on or after June 2027.
• Cumulative GPA of 3.0 or higher.
• Pursuing a bachelor's or master's degree in science, communications, regulatory compliance, quality, finance, data science, computer science, mathematics, statistics, economics, engineering, supply chain, or technology-related field.
• Ability to clearly present data findings and interpretations to both technical and non-technical partners.
• Ability to break down challenging problems into manageable components and derive actionable insights.
• Understanding of statistical concepts such as regression analysis, hypothesis testing, and data distribution.
• Ability to work through challenges logically and deliver solutions efficiently.
• Ability to provide own transportation to the work location.
• Ability to work full-time (40 hours a week) for the whole term.

Qualifications

• Proven leadership and/or participation in campus/community service activities.
• Previous internship, Co-Op, or academic experience in a related field.
• Basic proficiency in data analysis tools Python, R, or SQL, and visualization tools Tableau, Power BI, or Excel.
• Familiarity with Cloud data platforms such as AWS, Azure, or Google Cloud.
• Basic proficiency in IA tools, such as Power Platform.
• Familiarity with machine learning algorithms and AI platforms/LLMs and tools.
• Exposure to Agile, Scrum, or other project delivery methodologies.
• Six Sigma Green Belt certification.