Statistician â Product Biology
Statistician â Product Biology
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Job Description
At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. To support this mission Syngentas Digital and Data Science team is seeking a Statistician in So Paulo/SP. This role will support the delivery of statistical analyses and reporting for agronomic field trials co-manage experimental design and results interpretation for Crop Protection Development (focusing on Insect Control) drive digital transformation initiatives in R&D through innovative data methodologies develop data science tools and services train field trial teams on statistical best practices integrate diverse internal and external data sources for comprehensive analysis and stay current with agricultural statistics to implement cutting-edge methodologies.
Accountabilities
- Independently guarantee good statistical practice is applied in Crop Protection Development activities with special attention to design of experiments.
- Closely work with product-line teams 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. digital data capture 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).
- 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).
Qualifications :
Required
- Profound knowledge of statistics methods and their application in agronomy and/or biology.
- Proficiency in English is must.
- 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.
- Good theoretical understanding of the principles of experimental designs applied to agronomic trials.
- 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.
- Good knowledge of Git or other version-control systems for software development and reproducible-science work.
- Postgraduate degree in statistics or in natural sciences with a heavy component of statistics.
- Strong background in statistics- and data science-oriented programming languages (i.e. R Python)
- Strong knowledge and understanding of statistical methods such as meta-analysis mixed effect modeling longitudinal modeling Bayesian methods design of experiments etc.
- Strong knowledge of scientific modelling methods and their applications to applied questions.
Desired
- PhD is preferred.
Additional Information :
What We Offer:
A culture that celebrates diversity & inclusion promotes professional development and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
Full Benefit Package (Medical Dental & Vision) that starts your first day.
Paid Vacation Paid Holidays Maternity and Paternity Leave Education Assistance Wellness Programs Corporate Discounts among other benefits.
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.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
