Description

Grow what’s next. Grow your future. Are you excited to contribute to innovative research to enhance food security and drive sustainability? Join us at Corteva Agriscience for an exciting and impactful 6-month internship designed to give broad based exposure to the day-to-day activities of a team that works at the intersection of world class statistics, computer science and seed product design to bring the power of accelerated genetic gain to our customers. Corteva Agriscience is a global leader of seed, crop protection, and digital solutions in agriculture. This position will reside within the Seed Product Development Biostatistics & Scientific Computing team. This team discovers, adapts, and develops state of the art statistical methodology and computational algorithms that help convert into actionable insights real-time, high-volume data streams, to inform optimized Seed Product Design.

Responsibilities – What You’ll Do:

• Develop and deploy state-of-the-art experimental designs and phenotypic analysis methodologies to improve genetic gain in Corteva’s breeding programs

• Collaborate with plant breeders in multiple crops and geographies spanning the globe to understand biological questions and develop statistical solutions to complex questions

• Manage your own research project with the expectation of a verbal report to the larger intern group found throughout the United States

• Gain excellent experience that can be applied to full time positions in the industry, or in preparation for additional graduate level training in the plant sciences

Qualifications

Qualifications – What You’ll Bring:

• Enrollment at an accredited university the semester following internship

• The ability to relocate to the Corteva Seed Hub global headquarters in Johnston Iowa for the duration of the internship

• An accomplished academic record through the later stages of graduate studies at an accredited university

• A solid foundation in mathematics and statistics, including areas such as linear mixed, and spatio-temporal models

• A strong interest in applying statistical methods to commercial agriculture

• Knowledge of ASReml, R, or related scientific computing languages, the ability and confidence to manage and manipulate large data sets, and the willingness to develop, test, and deploy internal analysis software.

• Strong oral and written communication skills, including the ability to communicate effectively with individuals of diverse language, cultural, and scientific backgrounds

• Creative thinking and the flexibility to work independently and in a team environment