Tech Co‑op: Data, AI & Product Roles (Hybrid)

Johnson & Johnson Co.; Spring House (PA); Híbrido; USD 36 000 - 47 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Housing stipend

Resumo da oferta

Johnson & Johnson invites you to join the JJT Co-op Program, a comprehensive learning and professional experience in the technology space. Co-ops are full-time for six months, with in-person or virtual options across US locations.

The program feeds into TLDP for potential full-time employment after graduation. Responsibilities include data engineering, AI/ML, UI/UX, and software engineering experiences across multiple tech tracks, with emphasis on collaboration, stakeholder engagement, and

Qualificações

• Must be permanently authorized to work in the U.S.
• GPA of 3.0 or higher
• Currently enrolled pursuing a bachelor’s or master’s degree
• Preferred fields include Information Management, IT, CS, and related disciplines
• Ability to work full time (40 hours/week) Jan 11, 2027 through Jun 21, 2027
• Passion for a career in technology
• By start date, must be an undergraduate sophomore or above

Responsabilidades

• Work within specialized groups in J&J Technology to build solutions and drive value
• Contribute individually and/or as a team member to support technology projects
• Work with key stakeholders to accomplish goals and objectives
• Build awareness and experience of key capability skills in support of the program
• Conduct data and process analysis to develop key solutions

Conhecimentos

US work authorization

GPA 3.0+

Full-time commitment

Undergraduate sophomore or higher

Formação académica

Pursuing bachelor’s or master’s degree

Descrição da oferta de emprego

Johnson & Johnson invites you to join the JJT Co-op Program, a comprehensive learning and professional experience in the technology space. Co-ops are full-time for six months, with in-person or virtual options across US locations.

The program feeds into TLDP for potential full-time employment after graduation. Responsibilities include data engineering, AI/ML, UI/UX, and software engineering experiences across multiple tech tracks, with emphasis on collaboration, stakeholder engagement, and