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IT Co-Op

Job in Whippany, Morris County, New Jersey, 07981, USA
Listing for: Bayer AG
Full Time position
Listed on 2026-09-24
Job specializations:
  • IT/Tech
    IT Business Analyst, Business Systems & Technology Analysis, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 23 - 46 USD Hourly USD 23.00 46.00 HOUR
Job Description & How to Apply Below

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IT Co-Op

We are seeking high‑potential interns and co‑ops who want to help shape the future of the IT organization. This role is designed for early‑career talent with the curiosity, ownership, adaptability, and leadership potential to grow into future technology, platform, product, and enterprise leaders. Participants will work on meaningful technology and business problems, learn from experienced leaders, and contribute to initiatives that improve how teams use data, platforms, digital products, automation, AI, and modern operating models to create enterprise value.

YOUR

TASKS AND RESPONSIBILITIES

What You Will Do:

  • Contribute to real IT, digital, data, product, platform, automation, AI, cybersecurity, infrastructure, or business operations initiatives;
  • Partner with cross‑functional teams to understand business needs, analyze problems, and help deliver practical solutions;
  • Use structured thinking to evaluate options, challenge assumptions, identify root causes, and recommend trade‑offs;
  • Learn unfamiliar domains quickly and apply lessons from one assignment to new situations;
  • Take ownership of ambiguous problems by creating momentum, asking smart questions, and driving work forward;
  • Communicate insights through storytelling, documentation, presentations, and stakeholder updates;
  • Collaborate with accountability by building trust, removing barriers, and delivering outcomes rather than activities;
  • Explore how technology decisions affect process, organization, financial impact, user experience, and enterprise value.
WHO YOU ARE

What We Are Looking For

We are less focused on candidates who already know every tool and more focused on candidates who show the potential to learn, lead, influence, and grow. Strong candidates demonstrate leadership potential through how they think, act, adapt, and collaborate.

  • Learning agility:
    Quickly learns from experience and applies lessons in unfamiliar situations;
  • Agency and ownership:
    Acts without waiting for permission, treats problems as their own, and drives outcomes;
  • Critical thinking:
    Evaluates information, challenges assumptions, and makes reasoned recommendations;
  • Systems thinking:
    Understands how technology, process, people, finance, and business value connect;
  • Curiosity:
    Explores new ideas, asks better questions, experiments, and learns across disciplines;
  • Influence without authority:
    Builds trust, aligns stakeholders, and moves work forward through collaboration;
  • Growth mindset:
    Seeks feedback, reflects on performance, and continuously improves;
  • Resilience and ambiguity tolerance:
    Stays calm, adapts when facts change, and makes progress with incomplete information;
  • Collaboration with accountability:
    Works well with others while staying focused on measurable results;
  • Strategic thinking:
    Connects today’s work to future business value, enterprise outcomes, and user impact.
Basic Qualifications:
  • Currently pursuing a bachelor’s or master’s degree in information technology, computer science, data science, engineering, cybersecurity, information systems, or a related field;
  • Interest in technology, digital transformation, AI, data, platforms, product thinking, business operations, or enterprise problem solving;
  • Ability to learn quickly and apply new concepts in dynamic, ambiguous environments.

Employees can expect to be paid a salary of approximately between $22.75 to $45.50. Additional compensation may include a bonus or commission (if relevant). Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant). This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain…

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