Corn Germplasm Process Scientist

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Location :
Stanton, Minnesota

Expiry Date :
Mon, 26 Apr 2021 23:59:59 GMT

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Description :
Corn Germplasm Process Scientist About Syngenta Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 28,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. Through leading innovations, we help farmers around the world meet the challenge of feeding a growing population and taking care of our planet. We are currently seeking a Corn Germplasm Process Scientist to be based out of our Stanton, MN site In this role you will support the design, development, implementation, and execution of technical projects and new breeding and analytics methodologies to accelerate genetic gain, execute and test these ideas in the field. Accountabilities: Establish pre-breeding discovery pipeline and develop new elite corn inbreds for the 80-100 Relative Maturity (RM) pipeline by collaborating with North Market segment team Design the strategy for identifying, introgressing, and testing novel sources of value-added genetic diversity Collect field notes, design nurseries and yield trial experiments, and contribute to product advancement via the analysis of inbred and hybrid agronomic data In conjunction with analytics and data science teammates, develop new analytical methods for quantitatively measuring, prescribing and characterizing functional genetic diversity at key points of the breeding pipeline Identify new challenges and opportunities to inform novel projects by building strong partnerships with internal and external collaborators Consistently document and communicate results of research on data mining, analysis, and modeling approaches to ensure strategic forward planning and alignment within and across teams. Work in diverse, cross-collaborative teams with plant breeders, data scientists, computational biologists, and IT Requirements: Ph.D. in plant or animal breeding, with 2 years of experience in either a commercial or academic setting In depth knowledge of plant breeding, quantitative genetics, and field experimental design Expertise with tools for data analysis, statistical computation, and visualization (such as Python or R); programing and pipeline development skills integrating large, complex datasets from structured and unstructured sources Demonstrated experience working with molecular marker-based studies applied to plant breeding, such as marker-assisted selection, genome-wide phenotype-to-genotype association, and genomic selection Demonstrated skills to use simple interfaces to build visualization capabilities of analysis outputs and results Creative, innovative, and strategic thinking; willingness to be bold and take risks on novel ideas Curiosity and a desire to continuously learn and stay current on new emerging science and technology Preferred Qualifications Knowledge of molecular biology and gene editing technology is a plus but not necessarily requiredWhat We Offer: Full Benefit Package (Medical, Dental & Vision) that starts the same day you do 401k plan with company match, Profit Sharing & Retirement Savings Contribution Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year 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. Family and Medical Leave Act (FMLA) ( Equal Employment Opportunity Commission’s (EEOC)( Employee Polygraph Protection Act (EPPA)( #LI-AR1183 USA-Minnesota-Stanton R & D – Development