TDQ Co-Op
About The Position
Johnson & Johnson is seeking motivated and meticulous undergraduate and graduate students for its 2027 Spring Technology and Digital Quality (T&DQ) Co-op program. The position provides hands-on experience analyzing business processes and data, supporting decision-making, assessing business challenges, recommending improvements, and contributing to data-driven strategies across T&DQ functions. The co-op works under a hybrid model, with three days per week onsite and two days remote; the schedule is confirmed with the manager closer to the start date. The role is based in Horsham, Pennsylvania, or Raritan, New Jersey. Co-op assignments may include analyzing end-to-end processes and translating requirements into digital product user stories; preparing data from databases, APIs, and spreadsheets; conducting statistical analysis and data mining; and creating reports, visualizations, and dashboards. The co-op may also develop automated data workflows, support validation of AI and digital technology solutions in accordance with regulatory and compliance standards, and help analyze information and develop recommendations for leadership. The role involves collaborating with functions such as QA-Ops, JJRC, finance, and operations, and documenting methods, processes, and results. Participants also gain industry exposure through conversations with senior leaders and shadowing T&DQ personnel, develop their skills through workshops and networking events, present their learning to leadership, and may take part in community activities. Candidates must be permanently authorized to work in the United States without present or future sponsorship, be enrolled at an accredited college or university during the co-op, meet the stated student standing and GPA requirements, and be available to work 40 hours per week for the full term.
Requirements
- Have permanent U.S. work authorization and not require employment visa sponsorship now or in the future.
- Be enrolled in an accredited college or university during the co-op; by the start date, undergraduate students must be sophomores or above.
- Master’s students must have earned their undergraduate degree on or after June 2027.
- Have a cumulative GPA of 3.0 or higher across college coursework.
- Pursue 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 a technology-related field.
- Clearly present data findings and interpretations to technical and non-technical partners.
- Break challenging problems into manageable components and derive actionable insights.
- Understand statistical concepts such as regression analysis, hypothesis testing, and data distribution.
- Work through challenges logically and deliver solutions efficiently.
- Provide own transportation to the work location and to and from work each day.
- Work full-time, 40 hours per week, for the entire term.
Nice To Haves
- Leadership experience and/or participation in campus or community service activities.
- Previous internship, co-op, or academic experience in a related field.
- Basic proficiency with Python, R, or SQL and visualization tools such as Tableau, Power BI, or Excel.
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud.
- Basic proficiency with IA tools, such as Power Platform.
- Familiarity with machine learning algorithms, AI platforms, LLMs, and related tools.
- Exposure to Agile, Scrum, or other project delivery methodologies.
- Six Sigma Green Belt certification.
Responsibilities
- Analyze business processes and translate business needs into digital solutions, including product backlogs and user stories.
- Collect, clean, and prepare datasets from sources such as databases, APIs, and spreadsheets.
- Perform statistical analysis and data mining to identify patterns, correlations, and insights.
- Develop visualizations, dashboards, and reports using tools such as Tableau, Power BI, or Excel.
- Create automated workflows for data extraction, transformation, and reporting using Python, R, or SQL.
- Support validation activities for AI and digital technologies while maintaining regulatory and compliance standards.
- Analyze data to support business decisions and initiatives, and partner in developing recommendations for leadership.
- Collaborate with QA-Ops, JJRC, finance, operations, and other departments to understand data needs and provide actionable insights.
- Document methodologies, processes, and results to support reproducibility and knowledge sharing.
- Participate in learning and development activities and present learnings and development experience to leadership.
Benefits
- Company-sponsored employee medical benefits, in accordance with the terms of the plan.
- Sick time benefits of up to 40 hours per calendar year, or up to 56 hours per calendar year for employees residing in Washington State.
- Eligibility to participate in the Company’s consolidated retirement plan (pension).
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What This Job Offers
Job Type
Full-time
Career Level
Intern
