Agronomic Research Specialist II

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.

Agronomic Research Specialist II 

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Agronomic Research Specialist II, are to: 

• Be responsible for delivering the highest quality field data as part of North America’s Plant Breeding Research and Development (R&D) pipeline by providing optimal trial management;
• Be responsible for the implementation of unique and innovative technology solutions designed to improve research design and operations success through use of new tools and methodologies to improve overall plant breeding phenotyping such as the pilot and use of geospatial systems, agronomic planting and harvesting tools, harvesting shelling systems, and data capture applications;
• Collaborate with project team members to deliver detailed experimental protocols that enable advancement decisions by our scientists and placement decisions to our customers;
• Organize and execute day-to-day priorities of the site either alone or as the leader of a small team such as: pre-season logistical trial planning, safety and compliance adherence in accordance with local and federal guidelines, and in-season phenotyping activities performed by contractors;
• Train team members and seasonal employees on standard operating procedures, site and operation safety guidelines, and tool operations;
• Engage in community relation activities including but not limited to community volunteer efforts, sustainability activities, and serve as a technical representative to external parties in partnership with commercial, marketing, and other functions on agronomic topics such as product pipeline development, agronomy practices, and compliance standards;
• Travel up to 20% of the time particularly during peak seasons, which could be within a multi-state region;
• Ability to work extended hours during peak seasons (including non-traditional daytime hours with the potential of limited overnight travel);
• Position requires driving for the company that may fall under DOT/FMCSA jurisdiction. This may entail the hauling of trailers, product, supplies or equipment in a safe manner. 

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required qualifications:

• Master’s of Science with minimum years of relevant experience; OR Bachelor’s degree with at least 2 years of experience; OR non degreed with at least 10 years of relevant experience;
• Valid Drivers’ License; in order to be eligible to drive a company car, your driving record must meet guidelines based on the company’s Risk Screening for Hiring Drivers, MVR will be reviewed as part of pre-employment screening;
• DOT medical card or the ability to obtain one through successfully completing and passing a DOT physical. In addition, candidate must be able to meet all applicable DOT/FMCSA criteria. Drivers with previous DOT driving experience may be required to undergo FMCSA safety checks and applicable review;
• Ability to lift up to 60 lbs;
• Ability to obtain pesticide applicator license;
• Ability to obtain UAV license (desired) for operating drones;
• Ability to work extended hours and weekends during peak operational seasons.
   

Preferred qualifications:

• Bachelor’s degree in Agronomy, Life Sciences, Engineering, Computer Science, or related field;
• Knowledge and experience with agricultural equipment and row crop production practices and history of leveraging that knowledge in a research environment;
• Demonstrated experience working in a collaborative team-based environment;
• Capable of maintaining large data sets;
• Experience with both standard MS Office computer and software systems used in scientific data analysis, with ability to quickly learn new software programs and tools.

 #LI-US