Digital Genomics Prediction Intern

Syngenta Global

  • Durham, NC
  • 17 days ago

    Highlights

    As part of Syngenta's Emerging Talent Program, you will gain hands-on experience, exposure to day-to-day business operations, and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills. 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.

    Numbers & Facts

    LocationDurham, NC

    Description

    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. We invite you to help shape the future of agriculture and play a role in safely feeding the world while caring for our planet.

    Syngenta's Analytics & Data Sciences team is seeking a Digital Genomics Prediction Intern in Durham, NC. This internship provides practical experience applicable to careers in agricultural technology, plant sciences, or graduate research programs. You'll gain exposure to industry-leading phenotyping infrastructure and contribute meaningful insights to active breeding programs.

    As part of Syngenta's Emerging Talent Program, you will gain hands-on experience, exposure to day-to-day business operations, and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills.

    Duration: May 2027 - August 2027

    Accountabilities

    • Support phenotyping platform operations such as sensor deployment, image acquisition, and field data collection across greenhouse and field environments.
    • Contribute to image processing workflows, trait extraction algorithms, and analytical pipeline optimization using advanced computational tools.
    • Lead an independent research initiative focused on phenotyping methodology validation or trait measurement innovation, culminating in a presentation to research leadership.
    • Partner with plant breeders, agronomists, and data scientists to integrate phenotypic insights into breeding decisions and product development.
    • Maintain detailed experimental records, standard operating procedures, and technical documentation to ensure reproducibility.

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