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Quantitative Scientist

Company name
Syngenta Biotechnology Inc

Slater, IA

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Description About Syngenta Syngenta is a leading agriculture company helping to improve global food security by enabling millions of farmers to make better use of available resources. Through world class science and innovative crop solutions, our 28,000 people in over 90 countries are working to transform how crops are grown. We are committed to rescuing land from degradation, enhancing biodiversity and revitalizing rural communities. About This Job In this role, you are required to use GIS (geographic information systems), advanced mathematical models, operations research techniques, simulation, quantitative genetics and strong business acumen to deliver insight, recommendations and solutions for Seeds Product Development science and business problems. You are required to formulate and apply mathematical modelling and other optimizing methods to develop and interpret information that assists management with decision making and policy formulation. You\u2019ll play a crucial role in leading world class quantitative genetics, computational biology, logistics and distribution capacity planning and diagnostics, network design, flow path modelling and operations research on regional and global levels. You\u2019ll help drive decisions that optimize total cost, lead time on strategic and tactical, and more opportunistic levels. You will present compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business. Accountabilities Serve as consulting resource for GIS, experimental design, quantitative genetics and data analysis methodologies for target Seeds Product Development scientists Maintain expertise in the proper application and use of computational tools for the management of germplasm materials, data management and analysis, and reporting, for activities of Seeds Product Development Serve as \u201cpower user\u201d subject matter expert for the ongoing development and optimization of at least one critical computational application used by Seeds Product Development Serve as the user support for users within the defined SPD work group, for proper application and use of computational tools for the management of germplasm materials, data management and analysis, and reporting, for activities of Seeds Product Development Conduct regular new user and refresher trainings on selected computational tools to the SPD staff Communicate opportunities for improvement of computational applications to the development or maintenance teams, based on personal use or user feedback Prepare and conduct training to Seeds R&D community on relevant topics of statistics and data science Qualifications Experience Required Ph.D. or PhD completion in 6 months or Masters with equivalent experience in GIS, Operations Research, Industrial Engineering, or Mathematics or a related field Advanced degree in statistics, data science, or computational biology Expertise in probability theory, queuing theory, game theory is desirable Experience with machine learning algorithms and statistical techniques is highly desired Expertise in many of the following: Monte Carlo simulations, decisions analysis, stochastic models, system dynamics and forecasting Experience and passion for identifying and solving analytical problems involving big data sets using quantitative approaches to generate insights from data Experience with commercial optimization software (i.e., CPLEX, Xpress, Gurobi etc) is desired Experience with statistical programming packages like R, MATLAB and Python \u2013 Experience in using MIP\/LP\/IP\/QP optimization packages in either of R\/Python\/Matlab is highly desired Expertise in at least one or more of the following: network optimization, stochastic programming, portfolio optimization, efficient optimizer design for high dimensional convex\/non-convex problems, optimal scheduling and routing, multi objective optimization is desired Analytical thinking skills Strong influencing skills to lead alignment and adoption on process and methods People skills that will build bridges Drive for translating business problems into research initiatives that deliver business value Successful experience in working in teams Critical Knowledge Theoretical and practical knowledge of GIS, operations research and mathematical optimization and quantitative genetics concepts is a must Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts Creativity and success in defining challenging exploratory projects and developing solutions Strong organizational, interpersonal, and proven problem solving abilities Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner Creative, proactive, bold and out-of-box thinking Good communication skills A good understanding of algorithms and computational complexity is desirable Additional Information Occasional travel within region Potential infrequent travel outside of region Innovations Employee may, as part of his\/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets. Syngenta Contact Information If you need assistance during the application process please contact the Service Desk at Family and Medical Leave Act (FMLA) Poster - Link (http:\/\/\/whd\/regs\/compliance\/posters\/fmla.htm) Equal Employment Opportunity Commission's (EEOC) poster - Link (http:\/\/\/elaws\/firststep\/poster_direct.htm) Employee Polygraph Protection Act (EPPA) Poster - Link (http:\/\/\/whd\/regs\/compliance\/posters\/eppa.htm). 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. Job :Crop Genetics R&D

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Syngenta Biotechnology Inc
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