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.