Benson Hill empowers innovators to develop more healthy, tasty and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with breeding techniques and plant biology to drastically accelerate and simplify the product development process. This platform allows for cost-effective and more efficient ways for companies to analyze and make improvements in plant genetics. Benson Hill brings a unique and holistic approach to our product and platform development, as we span a broader workflow involving trait and seed development, genome editing, and breeding all the way to creating better ingredients and varieties that tap a strong consumer demand for more flavorful and nutritious fruits and vegetables. More information can be found online at www.bensonhill.com. Follow us on Twitter at @BensonHillInc.

Our Purpose and Core Values

Our Core Values are a set of common principles we share that are fundamental to our company’s identity.

  • Be Bold! We redefine boundaries by providing new solutions to difficult problems. Together we are driven to transform the future and will not allow the fear of failure to prevent us from innovating. We voice our opinions, embrace change, and challenge each other to think creatively.
  • Be Inspired! We redefine boundaries by providing new solutions to difficult problems. Together we are driven to transform the future and will not allow the fear of failure to prevent us from innovating. We voice our opinions, embrace change, and challenge each other to think creatively.
  • Be Real! We understand who we are, what we want to achieve, and what it takes to get there. We hold each other accountable through timely, candid, and well-intentioned feedback. Together we engage in honest communication and healthy debate that leads to success through true alignment.

Position Summary

Benson Hill is looking for an energetic and passionate Agronomy Intern specializing in Herbicide Management! This exciting opportunity will immerse you in the development of preventative weed management solutions that underpin some of our most important product development and pre-commercialization business challenges. You will work collaboratively with the Product Development & Field Operation business teams in R&D to develop specialized integrated pest management solutions to support Benson Hill R&D and Pre-Commercial activities for non-GMO soybeans.  This is a 6-month opportunity.   

You Will:

(Essential Duties and Responsibilities)

  • Have, or ability to obtain, pesticide applicators license prior to project beginning.
  • Provide agronomic expertise to design and execute an experimental non-GMO integrated pest management program (pre, post, timing considerations) through to efficacy.
  • Evaluate different cover crop options for efficacy of weed suppression
  • Partner with analytics team to have a plan for analyses and interpretation of results.
  • Crop scouting activities within our closed-loop commercial grower operations to better understand existing commercial herbicide programs and translation to yield, protein, and oil outcomes.
  • Work collaboratively with interdisciplinary scientists, analytics, and product development professionals across the organization.

You Have:

(Competencies and Qualifications)

Experience

  • Currently in the process of obtaining a degree such as Ph.D., Masters, or Bachelors with relevant research experience in Agronomy, Chemical Sciences, Plant Breeding...;
  • Crop Scouting: Weed identification and growth staging,
  • Knowledge of herbicides: Chemistries, modes of action, and application timing
  • Demonstrated problem solving experience analyzing experimental datasets related to field trialing;
  • Exceptional organizational, interpersonal, and written communication skills;
  • Ability to work in a matrix environment and influence people at varying levels of responsibility;
  • Candidates must demonstrate business aptitude and possess the ability to rapidly learn new problem domains and become conversant in the domain

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