MedTech Tech Co-op: Data, AI & Automation

Johnson & Johnson Co.

Raritan (NJ)

Hybrid

USD 36,000 - 47,000

Full time

35 hours ago
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Benefits offered by this job

Housing stipend
Medical insurance
Paid time off

Job summary

Johnson & Johnson is offering a hybrid Co-op in the Technology Leadership Development Program (TLDP) in New Jersey. The role focuses on data analysis, GenAI-driven automation, and reliability engineering within Innovative Medicine and MedTech spaces.

You’ll work on real projects from day one, collaborating with cross-functional teams and mentors to prepare for full-time opportunities. Ideal candidates are pursuing a bachelor’s or master’s degree, proficient in Python data science tools, ML

Qualifications

  • Pursuing bachelor’s or master’s degree in progress.
  • Be permanently authorized to work in the U.S. without sponsorship at application time or in the future.
  • GPA of 3.0 or higher across college coursework.
  • Preferred fields include Information Management, IT, Computer Science or related.

Responsibilities

  • Perform data analysis on structured and unstructured data to uncover insights for improvements.
  • Drive automations to improve reliability, quality and lower costs.
  • Standardize and automate daily processes and checks.
  • Enable collaborative data analysis and ensure data quality.
  • Support engagement managers with metrics and feedback for development teams.
  • Understand and assist GenAI-enabled observability implementations.
  • Contribute as a team member with mentorship from managers and engineers.

Skills

Data analysis
GenAI technologies
Python data science libraries
ML tools & algorithms
Agile & Scrum
Collaboration
Independent work
MS Office
GenAI models (MCP)
Analytical thinking

Education

Pursuing bachelor’s or master’s degree

Tools

MS Office
GenAI tools

Job description

Johnson & Johnson is offering a hybrid Co-op in the Technology Leadership Development Program (TLDP) in New Jersey. The role focuses on data analysis, GenAI-driven automation, and reliability engineering within Innovative Medicine and MedTech spaces.

You’ll work on real projects from day one, collaborating with cross-functional teams and mentors to prepare for full-time opportunities. Ideal candidates are pursuing a bachelor’s or master’s degree, proficient in Python data science tools, ML

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