Application Technology Intern

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.

Application Technology Intern 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

• Establish project, develop and plan and key milestones;
• Build network within regional collaborative teams and the wider Field Solutions function to accomplish project goals;
• Collaboratively design and carry out laboratory or field based experiments;
• Responsible for organizing, documenting, and reporting research outcomes in a timely manner;
• Actively troubleshoot and problem-solve to optimize research procedures;
• Analyze data to draw conclusions and define next steps;
• Understand and follow protocols when working with various pesticides and instrumentation;
• Present project results to leadership team and stakeholder group.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently enrolled at an accredited university located in the U.S. pursuing a BS or Masters in crop science, weed science, chemistry, biology, agronomy, engineering or a related field;
• Successfully completed at least sophomore year or higher;
• Knowledge or understanding of basic chemistry, biology, and/or agronomy principles;
• Ability to work safely in the laboratory or field environment;
• Strong interest in experimentation and ability to think critically about results and drive future research;
• Strong interpersonal skills, excellent written and verbal communication, and the ability to work effectively both independently and in cross-functional teams;
• Excellent organizational skills and scientific report writing experience knowledge and understanding of basic data science practices.