Field Associate II - Marshall, Missouri Details | AG
Listed on 2025-12-20
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Research/Development
Agriculture / Farming, Research Scientist
Overview
Field Associate II – Marshall, Missouri
At Bayer, we’re visionaries driven to solve the world’s toughest challenges and strive for a world where health for all, hunger for none, is a real possibility. We’re pioneering technology and digitalization, working with cutting-edge science, technology, and equipment to innovate in agriculture and empower farmers. This role is a field-facing position integral to our R&D Field Trial program in crops such as corn, soybean, wheat, cotton, canola, and camelina, depending on the region.
YOURTASKS AND RESPONSIBILITIES
The Field Associate II contributes to an R&D Field Trial program and coordinates with growers on leased land, assists with local staffing during in-season activities, and participates in in-season research activities (phenotyping, study management, data analytics) to oversee and execute trials feeding the R&D pipeline. The role partners with other Field Associates and cross-site functions to improve data quality, SOPs, and quality/compliance actions.
Primary responsibilities (Marshall, Missouri):
- Ensure safe and efficient operation of the research program in alignment with Bayer’s HSE, Quality, Compliance and Stewardship requirements, and Business Code of Conduct and Ethics Standards;
- Collaborate with project teams to deliver detailed experimental protocols that enable advancement decisions by scientists and product placement decisions for customers;
- Use equipment such as tractors, planters, harvesters, drones, and other technologies to collect, analyze, and deliver data on agronomic traits; work with internal partners on innovation and proof-of-concept projects to improve tools and processes;
- Self-motivate, problem solve, and make decisions related to time, prioritization, and project management;
- Build and leverage networks across diverse teams, and establish partnerships in the local community (leaders, influencers, growers);
- Supervise and direct third-party labor or seasonal staff to achieve trial and business objectives;
- Communicate across teams with agility and a commitment to continuous learning;
- Partner with the manager on targeted business and personal development goals aligned with Bayer’s Dynamic Shared Ownership values;
- Travel up to 15% of the time, especially during peak seasons;
- Work extended hours during peak seasons (including non-traditional hours and potential overnight travel);
- Drive a company vehicle as part of job duties (may include driving >5,000 business miles annually in a company-supplied vehicle or frequent pool-vehicle use);
- Position may require driving under region-specific regulations (US DOT/FMCSA) and may require a specialized license for hauling trailers, products, or equipment safely.
Required Qualifications:
- Bachelor’s degree;
- Strong technical aptitude and ability to work with connected systems and data management;
- Demonstrated experience working in a collaborative team-based environment;
- Ability to learn and operate research agriculture equipment, including precision agriculture technology;
- Knowledge or ability to learn region-specific crop production and farming practices;
- Strong verbal and written communication skills;
- Valid driver’s license; driving record reviewed per company risk guidelines;
- DOT medical card or ability to obtain one through DOT physical; compliance with FMCSA criteria; safety checks may be required;
- Federal regulations require background check, drug test and physical for pre-employment;
- Ability to obtain Pesticide Applicator’s License;
- Ability to obtain Drone Pilot’s License (FAA Part 107).
- Ability to safely lift up to 50 lbs;
- Sit, stand, and walk for extended periods;
- Work in high and low field temperatures;
- Capable of long hours during peak field season.
- Bachelor of Science in agronomy, life sciences, engineering, computer science, or related field OR Master’s Degree;
- Experience in agricultural research, seed technology, or plant breeding;
- Knowledge of basic statistical analysis and experimental design principles;
- Mechanical and IT aptitude;
- Experience with precision agriculture hardware and software;
- History of implementing continuous improvements and…
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