Technology TS AM CBT Off Cycle Co-Op

Johnson & Johnson•Raritan, NJ
•Hybrid

About The Position

Johnson & Johnson’s JJT Co-op Program offers a comprehensive learning and professional experience in technology at a global healthcare company. Co-op assignments may span Corporate, MedTech, and Pharmaceutical teams and involve technology work supporting healthcare products and medicines. The program is a feeder pool for the Technology Leadership Development Program for potential full-time employment after degree completion. This is a hybrid role in Raritan, New Jersey. The co-op is a full-time opportunity expected to run from March 29, 2027, through August 20, 2027. Participants contribute to operational support, application maintenance, continuous service improvement, automation, data analysis, and reliability engineering initiatives with mentorship from managers and engineers. Applicants must be permanently authorized to work in the United States without requiring employment visa sponsorship now or in the future, have a cumulative GPA of at least 3.0, and be enrolled in a bachelor’s or master’s degree program. By the start date, students must be undergraduate sophomores or above. Preferred fields include information management, information technology, computer engineering, management information systems, computer science, software engineering or development, data science, cybersecurity, graphic design, and mathematics. The position requires availability to work 40 hours per week during the program dates. The anticipated base pay is $26.00 per hour for sophomores, $28.00 for juniors, $29.00 for seniors, and $34.00 for master’s students. The position is overtime eligible. Interns may be eligible for company benefit programs such as medical insurance, sick time, and holiday pay, subject to applicable plan terms. A housing stipend is offered to those who qualify.

Requirements

  • Must be permanently authorized to work in the United States and not require employment visa sponsorship at application or in the future.
  • Cumulative GPA of 3.0 or higher across all college coursework.
  • Currently enrolled in and pursuing a bachelor’s or master’s degree.
  • Must be an undergraduate sophomore or above by the start date.
  • Available to work full time, 40 hours per week, from March 29, 2027, through August 20, 2027.
  • Collaboration skills, ability to influence, and an analytical approach.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.

Nice To Haves

  • Preferred fields of study include Information Management, Information Technology, Computer Engineering, Management Information Systems, Computer Science, Software Engineering or Development, Data Science, Cybersecurity, Graphic Design, or Mathematics.
  • Knowledge of MS Office.
  • Knowledge of Python data science libraries.
  • Knowledge of machine-learning tools and algorithms.
  • Knowledge of Agile approaches and Scrum.
  • Experience with generative AI technologies, such as chatbots.
  • Knowledge of generative AI models, MCP, and agentic frameworks.

Responsibilities

  • Analyze structured and unstructured data to identify insights for process improvements, optimization, automation, and shift-left opportunities.
  • Participate in critical application maintenance initiatives.
  • Drive or lead automation initiatives, as appropriate, to improve reliability and quality and reduce costs using company automation and generative AI tools.
  • Standardize and automate daily processes and checks.
  • Enable collaborative data analysis and help ensure data quality.
  • Learn at least one automation tool and deliver a continuous service improvement design or solution.
  • Apply engineering design concepts to problem-solving and opportunity analysis.
  • Support Engagement Managers in understanding operational support metrics and sharing feedback with development teams.
  • Help implement generative-AI-enabled observability.
  • Support problem management through timely root-cause identification for appropriate incidents and preventive measures to avoid recurrence.
  • Work with business partners, technology product owners, developers, SaaS vendors, and architects to integrate reliability into platform solution design.
  • Identify, own, and deliver continuous service improvement opportunities.
  • Contribute as a team member with mentorship from managers and engineers.

Benefits

  • Interns may be eligible for medical insurance, sick time, and holiday pay, subject to applicable plan terms.
  • Housing stipend for qualifying participants.
  • Overtime eligibility.
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