**At Bayer were visionaries, driven to solve the worlds toughest challenges and striving for a world where 'Health for all Hunger for none is no longer a dream, but a real possibility. Were 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 youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, theres only one choice.**
**Application Tech & Image Analysis Co-Op**
Ready to gain valuable industrial research experience with Bayer as a co-op? This is your chance to explore opportunities at one of the worlds largest global companies, encompassing Science, Engineering, and much more. We are looking for individuals with integrity, commitment, and the drive to transform themselves and make an impact.
**YOUR TASKS AND RESPONSIBILITIES**
Bayer Crop Science is the leader in shaping the future of agriculture. At Bayer the R&D function brings innovative solutions to the grower, and this requires rigorous testing and fundamental understanding of new products and solution concepts. In the Application Technology group, we develop the fundamental understanding and testing protocols to accelerate the product and solutions pipeline.
In this role, you will be part of a team within Bayer Crop Science R&D focusing on designing new data pipelines and methodologies to advance our crop protection application fundamentals. Opportunities for your own development include introduction to/advanced use of data science tools, hands-on experimentation, networking with a global team of Bayer colleagues, and gaining exposure specifically to Bayer R&D.
The co-op will work closely with a project advisor. Key tasks for this co-op role include:
+ Build a network within Application Technology and Field Solutions to accomplish project objectives;
+ Establish a project plan and key milestones;
+ Develop image processing and data analysis pipeline;
+ Collaboratively design and execute field experiments;
+ Independent laboratory experimentation;
+ Organize, document, and report research outcomes in a timely manner;
+ Communicate project results to leadership team and stakeholder group at end of co-op.
**WHO YOU ARE**
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
+ Currently pursuing a degree in a relevant discipline (Data Science, Computer Science, Precision Agriculture, Agricultural Engineering, Weed Science or related);
+ Current enrollment at an accredited university located in the U.S.;
+ Familiarity with image analysis;
+ Proficiency with data analysis software (e.g. Python, R);
+ Ability to work effectively both independently and in cross-functional teams;
+ Proficiency with statistical principles.
Preferred Qualifications:
+ Current Masters or PhD candidate in a relevant discipline (Data Science, Computer Science, Precision Agriculture, Agricultural Engineering, Weed Science or related);
+ Background in Computer Vision, Cloud Computing, Data Analytics, Statistics, and related;
+ Experience building data analysis pipelines;
+ Familiarity with basic chemistry, biology, and/or agronomy principles.
**YOUR APPLICATION**
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Bayer is an E-Verify Employer.
**Location:** United States : Missouri : Chesterfield
**Division:** Crop Science
**Reference Code:** 832371
**Contact Us**
**Email:** [email protected]
**Job Segment:** Cloud, Computer Science, Testing, Agricultural, Compliance, Technology, Agriculture, Legal
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