Phenomics Innovation Product Owner

Syngenta Group

Durham, NC, United States
Competitive salary; annual bonus + profit-sharing ...
On-site
Advanced degree in engineering or computer science
Hands-on experience deploying phenotyping solutions
Proficiency in computer vision and machine learning
Syngenta Group is seeking a Phenomics Innovation Product Owner in Durham, NC, to lead the development of advanced phenotyping solutions for sustainable agriculture. The ideal candidate will possess a strong technical background in imaging, computer vision, and machine learning, along with experience in technology strategy and collaborative project management

Job Summary

  • This role leads next-generation phenotyping solutions to transform vegetable variety development for sustainable agriculture.
  • The position requires partnering with IT teams to architect scalable cloud-based platforms using AWS and integrating emerging AI technologies.
  • Candidates will benefit from flexible working options, unlimited access to learning resources, and a comprehensive benefits package including profit-sharing.

Matching Summary

Match Score: 85

Syngenta Group is seeking a Phenomics Innovation Product Owner in Durham, NC, to lead the development of advanced phenotyping solutions for sustainable agriculture. The ideal candidate will possess a strong technical background in imaging, computer vision, and machine learning, along with experience in technology strategy and collaborative project management.

Salary

Competitive salary; Annual bonus and profit-sharing available; Comprehensive secondary employment benefits

Skills & Requirements

Must-have

  • Advanced degree in Engineering or Computer Science
  • Hands-on experience deploying phenotyping solutions
  • Proficiency in computer vision and machine learning
  • Experience with AWS cloud infrastructure and data pipelines
  • Proven track record translating business needs to deployed solutions

Nice-to-have

  • Familiarity with seeds R&D and plant phenomics communities
  • Experience with digital agriculture platforms
  • Background in matrix organizations across multi-national teams
  • Knowledge of open-source phenomics tools

Key Requirements

  • Master's or PhD in Engineering, Computer Science, or related field
  • Demonstrated hands-on experience developing phenotyping solutions
  • Proficiency with Agile frameworks
  • No visa sponsorship or relocation support provided

Work Rights

Not specified

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