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Applied Genetics Lead- Genomic Prediction

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Job Title: Applied Genetics Lead- Genomic Prediction
Location: Durham, NC, South United States, USA
Company: Syngenta
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed & Biotechnology
Career Type: Researcher/Research & Development
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive
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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.


About Us


We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet.  To support this effort, we are currently recruiting for an Applied Genetics Lead – Genomic Prediction in Durham, NC. Other Syngenta location might be considered. The Applied Genetics Lead will play instrumental role on developing and executing technical strategies and delivering on key milestones towards predictive breeding objectives of the Vegetable Seeds Development organization. The incumbent will lead teams focusing on:


    Implementing genomic prediction across stages of breeding pipelines to accelerate genetic gain in vegetable breeding across crops and regions Optimizing predictive ability for selection of traits to deliver on product profiles Monitoring germplasm structure and diversity to shape and optimize the germplasm development process


    Lead genomic selection initiatives focusing on predictive modeling for optimal selection of parents, progeny and hybrids, and germplasm advancement in partnership with Germplasm Development teams Develop technical strategies to maximize genomic selection outcomes and lead teams towards successful execution Drive design, analysis, and execution of genomic selection initiatives directly or through others, and ensure timely delivery during advancement cycles and within budget Drive cross-functional collaborations, leverage existing knowledge and expertise, and foster creativity to accelerate genomic selection implementation and adoption across vegetable crops Influence adoption of genomic prediction methods, contribute towards their integration in the germplasm development process and the transformation of respective breeding schemes Ensure continuous improvement of training sets and increase in prediction accuracy to optimize selection schemes for target traits in alignment with product profiles and market segment needs Contribute towards the development of novel tools, modeling approaches and methodologies in partnership with Analytics and Data Science teams to drive continuous improvement of genomic prediction workflows and facilitate the delivery of enterprise level capabilities and IT solutions Develop germplasm strategies in collaboration with Germplasm Development teams by driving studies on germplasm characterization, structure, and diversity, and applying learnings across relevant crops. Keep up to date with internal and external scientific advancements in germplasm, genomic and data science toolbox and methodologies. Spearhead initiatives that advance innovation in vegetable teams. Coach/mentor direct reports and extended team members and contribute towards employee development on day-to-day basis. Participate in recruiting or people initiatives as appropriate


    PhD in Quantitative Genetics, Statistical Genetics, or related field Minimum of 3-5 years of experience in R&D setting Expertise in genomic prediction methodology, breeding methods, quantitate genetics, statistics and experimental design, and relevant genotyping technologies Advanced data fluency and excellent command of open-source programming languages Demonstrated skills in analysis of large, diverse, and complex datasets Ability to lead effectively global cross-disciplinary teams, drive strong collaborations and outstanding team outcomes Demonstrated creativity in problem solving and ability to foster scientific innovation in others Outstanding communication skills, and ability to distill complex concepts and deliver clear messages to non-expert audience Strong growth mindset for continuous learning and development Travel within region and internationally up to 10%

What 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


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Job Post Date: 09/17/21
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