Manufacturing Co-Op

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Manufacturing Co-Op

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

• Must be involved in projects including, but not limited to, changeover reduction, 5S, Pareto Analysis, time study, value stream mapping, standardized work, and optimization of workflows, kaizen events, and statistical process control;
• Basic use of project management skills;
• Must be willing to troubleshoot maintenance and reliability issues;
• Learn the basics of pharmaceuticalManufacturing and Packaging processing and equipment including dispensing, mixing, wet granulation, tablet compression, coating, and tablet printing;
• Be able to review equipment specifications;
• Be able to collect and analyze data to make decisions;
• Work with non-union plant personnel and possibly external vendors to implement solutions.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently either pursuing a Bachelor of Science in Engineering or Data Science at least as a second year student or Masters of Engineering or other technical discipline;
• Must have good verbal and written communication skills in English;
• Ability to work accurately and efficiently on multiple projects under tight timelines;
• Strong computer skills - Microsoft Office/ Excel Pivot Tables.

Preferred Qualifications:

• Experience with data analysis and root cause analysis;
• Prior engineering internship or co-op experience in a pharmaceutical company in engineering or data science related job.