Statistician – Product Biology

Syngenta; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A global leader in agricultural innovation is seeking a Statistician in São Paulo/SP. The role involves statistical analyses for agronomic trials, driving digital transformation in R&D, and developing data science tools. Candidates should have advanced knowledge of R and other statistical programming languages, a postgraduate degree, and a strong understanding of experimental design methodologies. Offering a full benefits package and flexible work options.

Serviços

Full Benefit Package (Medical, Dental & Vision)

Paid Vacation and Holidays

Education Assistance

Qualificações

• Profound knowledge of statistical methods applied in agronomy or biology.
• Strong background in data science-oriented programming languages.
• Good understanding of statistical methods such as meta-analysis and mixed effect modeling.

Responsabilidades

• Guarantee good statistical practice in Crop Protection Development.
• Provide training material and courses on trial design and analysis.
• Integrate internal and external data sources for analysis.

Conhecimentos

Knowledge of statistical methods

Proficiency in English

Advanced knowledge of R

Understanding of experimental designs

Agile mindset

Knowledge of Git

Programming in Python

Formação académica

Postgraduate degree in statistics or natural sciences

Ferramentas

R

SAS

Python

Java

Descrição da oferta de emprego

Company Description

Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its Sustainability Priorities, Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our stories and follow us on LinkedIn, Instagram & X.

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, Syngenta’s Digital and Data Science team is seeking a Statistician in São 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.