The Applied Analytics team is seeking an innovative Data Scientist to support data collection and integrity within the Temperate Hub. This role combines expertise in data science, agriculture, remote sensing, image analysis, and machine learning to drive innovation in data capture.
You will support data integrity across the Temperate Hub by developing and validating new data acquisition methods for multiple crops in North America and Europe, and will act as a bridge between domain and technical experts to implement novel digital phenotyping methods.
Accountabilities:
- Partner with Germplasm Development and cross-functional teams to streamline data flows, leverage diverse data assets across multiple crops, and recommend technology investments.
- Test emerging phenotyping technologies and lead innovation through the optimization of high-throughput phenotyping (HTP) protocols for multi-trait capture and integration of multiple data sources.
- Identify data needs and gaps, and provide recommendations for enhancing the Temperate Hub data strategy.
- Design and develop machine learning models and scalable workflows for data collection, trait prediction, and image processing in collaboration with Temperate Hub breeding teams and global Digital R&D teams to translate business needs into technical requirements.
- Consistently document and communicate findings to stakeholders to drive data-driven decision-making and innovation in data collection and modeling approaches.
Company Description
Syngenta Seeds is one of the world’s largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.
Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.
Syngenta Seeds is headquartered in the United States.
Qualifications
- PhD in Plant Breeding, Bioinformatics, Computational Biology, Computer Vision, Remote Sensing, or related field, or Master's degree with proven experience in commercial or academic agricultural settings.
- Technical understanding of commercial plant breeding and germplasm development.
- Experience with phenotyping methods, geospatial and remote sensing technologies, image processing, and computer vision.
- Familiarity with machine learning and deep learning frameworks and libraries for image processing.
- Proficient programming skills in R and/or Python.
- Familiarity with SQL, version control workflows, software reproducibility tools, and cloud-based development environments.
- Experience with visualization tools (R Shiny, Tableau, etc.) is a plus.
- Demonstrated experience in scientific data analysis and modeling with biological systems.
- Experience with plant breeding, quantitative genetics, and phenotypic data analysis.
- Outstanding problem-solving, communication, and collaboration capabilities.
Additional Information
What We Offer:
- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical, Dental & Vision) that starts your first day.
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
- Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
WL: 4A
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