Company Description
About Syngenta
Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X.
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. To support this mission, Syngenta’s Tropics Trait Introgression (TI) team is seeking a Applied Genetics Scientist in Uberlândia or São Paulo, Brazil. This role will play a key role in improving breeding pipeline efficiency through the development and implementation of molecular, computational, and analytical solutions. This includes optimizing trait introgression processes, managing genotyping activities, and conducting workflow analytics.
Accountabilities
- Support/enable the improvement of breeding pipeline efficiency by developing and implementing molecular, computational, and analytical solutions to optimize trait introgression processes while managing genotyping activities and workflow analytics.
- Developing simulation pipelines to guide strategic changes that drive conversion efficiency, quality and success
- Supporting genotyping activities through the development and optimization of marker panels
- Overseeing and delivering key analytics activities within TI workflows, including execution, management and reporting.
The focus of this role will be Corn, complementary supporting Soybean and Rice when necessary.
Qualifications
Required:
- Bachelor's degree in Agronomy, Biology, Biotechnology, or related field
- M.S. with 3-5 years of experience OR Ph.D. in Genetics, Plant/Animal Breeding, Quantitative Genetics, Bioinformatics, or Data Science
- Proficiency in programming (Python and/or R)
- Experience manipulating and analyzing large phenotypic and molecular datasets
- Knowledge of genotyping/sequencing technologies and data analysis
- Fluency in both Portuguese and English
- Proactive, autonomous, and goal-oriented work style
- Experience with data visualization, predictive modeling, and simulation algorithms
- Experience developing or modifying digital algorithms and applications
- Experience with UI/computational app development
- Solid understanding of SQL/NoSQL databases
Desired:
- Ability to translate technical results into business insights
- Strong cross-functional communication skills
- Comfort working in fast-paced, multidisciplinary environments
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.
- Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
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.
Beyond just believing in the power of diversity, Syngenta Group promotes an inclusive culture that includes differences in all its forms. We believe that the feeling of belonging allows people to become their best version, building an increasingly welcoming and productive environment.
All qualified candidates will be considered for our positions, without distinction of race, gender, age, nationality or disability
* This position will not provide relocation support.
*This position will require immediate availability.
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