Location Basel, Basel, Switzerland Employment Type Permanent Job Function Research & Development (R&D) Job Reference 18042263 Contract Type Full-time Syngenta Group is one of the world's leading agriculture innovation companies, with roots going back more than 250 years. Its 48,000 people across more than 100 countries strive to transform agriculture through breakthrough products and technologies that play a vital role in enabling the food chain to feed the world safely, sustainably and with respect for our planet. Swiss headquartered and Chinese-owned, the Group draws strength from its four business units - Syngenta Crop Protection headquartered in Switzerland, Syngenta Seeds headquartered in the United States, ADAMA headquartered in Israel, and Syngenta Group China - that provide industry-leading ways to serve customers everywhere. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. 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. For this role, we are looking for a (bio-)statistician with strong interpersonal skills to help us transform the way we conduct field experiments. If you have an aptitude for working with other people, a background in statistics and would like to apply this knowledge to explore and innovate in experimental designs, data-capture methods and data analytics, this job could be perfect for you. You would join a diverse and collaborative team, where your contribution is valued, and your development is a priority. Senior Statistician (m/f/d) - 18042263 Role Purpose: - Ownership of statistical evaluation and reporting for agronomic field-trial studies for Weed Control or Insect Control (and related seed-care activities). - Co-ownership, together with technical managers, of the (i) design of experiments, (ii) communication with trial-implementation team, (iii) interpretation of results for product-development and promotion decisions in Crop Protection Development, with focus on Weed or Insect Control. - Direct involvement in the digital transformation of Syngenta R&D, exploring new ways of working and new technologies, and innovating data capture and analysis methodologies. - Contribution to turning innovative ideas into productive data-science tools and services as part of the Data Analytics & Predictive Science team. Accountabilities: - Independently guarantee good statistical practice is applied in Crop Protection Development activities, with special attention to design of experiments (as defined by R. A. Fisher and beyond). - Closely work with product-line teams (focus on Weed Control) in statistical and data-analytics work applied to development projects, beginning to end. - In coordination with other functions, help in the transition to digital methods applied to agriculture (e.g., high-throughput phenotyping, precision application, predictive modelling). - Develop and implement a strategy to foster best practice in data analytics and participate in projects within the area of responsibility. - Provide documentation, training material and deliver training courses to maintain and improve trial design and analysis standards for global/regional/country users (field scientists, technical managers, others as necessary). - Support Global Product Biology Data Analytics with domain-area expertise and other team objectives. - Provide the appropriate statistical input to various CP R&D projects (e.g., plot-size optimization, crop density & crop-protection program optimization, trial-placement optimization). - Ensure that diverse data sources are effectively connected and integrated into analysis and modelling - across Syngenta and from data sources external to Syngenta. Requirements: - Postgraduate degree in statistics or in natural sciences with a heavy component of statistics. Master's Degree with many years of professional experience or PhD Degree. - Experience with either weed control or insect control. - Advanced technical knowledge of the R statistical programming language. Other statistical suites (e.g., SAS, STATA, JMP) and programming languages (e.g., Python, Java, C++) are an asset. - Strong knowledge and understanding of statistical methods such as meta-analysis, mixed effect modelling, longitudinal modelling, Bayesian methods, design of experiments, etc. - Good theoretical understanding of the principles of experimental designs applied to agronomic trials. - Good knowledge of Git or other version-control systems for software development and reproducible-science work. - You have the ability to influence, to lead and build a culture of innovation which creates an environment that inspires and supports creativity. You have strong pro-active communication skills and alignment with stakeholders. - Agile mindset, with focus on delivery of results in constant contact with stakeholders. - Training in Agile Project Management methods and/or experience in start-up companies is an asset. - Proficiency in English is must. Other languages are plus. What we offer: We offer a variety of financial and non-financial benefits including: - We offer a position which contributes to valuable and impactful work in a stimulating and international environment - Flexible working arrangements and environment with an open culture and diverse workforce - The opportunity to work with and learn from highly qualified and experienced employees - Learning culture (Together we Grow) and wide range of training options - You will profit from a competitive pension fund plan, attractive bonus system, onsite doctor, gym, canteen, and other benefits (Family friendly initiatives, Child and Family allowance...) Learn more about our team , our mission and how we achieve our goals . 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. Interested? We look forward to receiving your online application including all relevant documents (cover letter, CV, diploma, certificates) - reference number 18042263. We are looking for two hirings. Please be aware that the job title may differ from the position title. #LI-EM1 - Agronomy/Food Science - Agronomie/Science alimentaire - Agronomie/Lebensmittelingenieur - Innovation - Innovation - Innovation - Reference:

North West Switzerland, Switzerland