R and D Scientist

Syngenta is one of the world’s leading companies with 28,000 employees in over 90 countries dedicated to one purpose: bringing plant potential to life. We contribute to addressing some of the planet’s most critical issues such as the rising demand for food from a growing population.

Enable the transformation of field biological data into knowledge with an emphasis on experimental design, analysis, data quality, data set handling, and providing support to the R&D community. Support statistical analysis and product advancement via consulting, training, and development of reports, applications, and processes.

* Use Syngenta proprietary tools and systems to provide information to internal and external customers in the form of data searches, queries, summaries, visualizations, analyses and reports. * Provide support, guidance, and training of user community in the use of proprietary tools for tracking of experimental materials and performing statistical analyses. * Conduct appropriate statistical analyses of product performance data for business needs. * Support product advancement by improving processes and tools used to make decisions. * Assist in the improvement of systems for field-performance data capture. * Engage in and contribute to the Global R&D Scientific Networks. * Serve as a resource for scientific information based on data analytics and technical experience. * Generate innovative solutions in dealing with work problems and opportunities. * Serve on teams for development, testing, and implementation of new applications.

**Critical knowledge:** * An M.S. degree minimum, with a Ph.D. preferred, in an agricultural or plant-science related field of study (Agronomy, Horticulture, Breeding, Epidemiology, Entomology, Plant Pathology, Weed Science,) with an emphasis on statistics and data analysis. **Critical experience:** * Experience with field-based research, statistics, and data analysis * Experience with application development for field biology analytics * Use of sound statistical design principles to develop experimental protocols * Experience with the process of using research to answer biological questions * Experience with standardizing and summarizing biological data **Critical technical, professional and personal capabilities:** * Can assess & resolve differences in scientific and statistical interpretation * Ability to influence others and gain support for methodology recommendations * Ability to develop technical skills in multiple disciplines. * Ability to simplify and see trends in complex information and data * Strong planning, organizing, and problem solving skills. **Critical leadership capabilities:** * Teamwork skills * Excellent interpersonal and facilitation skills * Adaptability * Customer-focused **Critical Success Factors & Key Challenges:** * Contribute to improving use of statistics and analytical methods in field biology data analyses. * Customer-Focus required to support field researchers, business units and global teams. * High communication and organizational skills – job requires prioritization of requests from multiple customers. * Challenge the status quo and push boundaries. * Query data, create technical summaries and visualizations, and provide support for predictive analytics. * Guide and train field scientists in the use of statistical tools and best analytical practices.