Research Associate, Research Scientist, Research Assistant​/Associate

Position: Research Associate 1
Location: Stanton

Job Description

At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta's Operations & Trialing Team is seeking a Research Associate 1 in Stanton, MN. This role will support the Trialing Manager in executing research-level yield trials on time, with high precision and accuracy in a safe, compliant manner.

The Research Associate will work to generate the highest quality data to allow identification of superior performing products in corn and soybean during the growing season. This position is a Peak Time Employment position that allows the business to meet the demands and also allows the employee to take an extended single leave during the non-busy months of the calendar year (one annual unpaid break required each year).

This role provides benefits throughout the entire year.

This position is from March 1st - December 1st and off from December 1st to March 1st. This position comes with full time benefits.

Accountabilities:

* Function as an integral member of a team responsible for planting, plot maintenance, spraying, note taking (phenotyping) and harvesting research level yield trial plots.

* Operation and maintenance of agricultural machinery, and/or agricultural research equipment such as precision planters, drones, automated phenotyping equipment, and research combines.

* Perform all tasks and behave in a manner compliant with and in support of all safety and stewardship related company policies and practices, such as completing all required company training courses.

* Support on tasks to achieve the Trialing manager's desired results, e.g., assisting the team with field layout, planting, phenotyping, harvest.

* Effectively and regularly communicate with peers and supervisors regarding the status of projects, status of work related activities, quality and timeliness of data collected.