Biostatistician

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Syngenta Digital is changing the agriculture industry and we want you to be part of that. Digital innovations, data and new technologies will transform the way that crops are managed in the future and enable farmers and agronomists to enhance efficiency and sustainable food production. You will help to develop solutions that turns data into meaningful information and ultimately helps to grow more food with fewer resources.

The Syngenta Analytics and Data Sciences team is seeking a Biostatistician with a passion for utilizing their statistical and applied mathematical skills to help transform our Seeds product development pipeline, through enhanced experimental designs and analytics. As a Biostatistician you will work collaboratively on the design, analysis, and implementation of industry-leading experimental designs and biometric capabilities to improve decision making for Syngenta Seeds Research and Development.

You will help transform digital agriculture by:

• Working collaboratively on the design, analysis, and implementation of industry-leading experimental designs and the biometric capabilities to improve decision making for Syngenta Seeds Research and Development.

Accountabilities

Play a major role in defining, designing, and enhancing our experimental designs and analysis capabilities for our field trial experiments that support our global seeds business

• Assist in modernizing our field trialing system by utilizing phenomics, sensor data, and spatial analyses to gain insights and enhance decision making
• Model complex problems, discover insights, and identify opportunities with the use of statistics, applied mathematics, and visualization techniques
• Provide fit-for-purpose statistics and data analytics support
• Identify data needs and provide recommendations; efficiently process, clean, and verify the integrity of data used for analyses

Requirements

• PhD or Master’s degree with equivalent experience in applied mathematics, statistics, data science or related quantitative field
• 2+ years of experience in statistical methods applied to experimental design and analysis, including programming, multivariate statistics, probability, and spatial statistics
• Experience using a programming language (Python, C/C++, Matlab) or a statistical computer language (R, Python, SQL) to manipulate data and draw insights from large data sets
• Experience with visualization and rapid prototyping tools (R Shiny, Spotfire, Power BI)
• Technical understanding of plant breeding and environmental trialing

Preferred Requirements

• Formal training and experience in mixed-linear models, generalized linear models, machine learning models, stochastic or mathematical simulation models
• Experience with Agile methodology
• Demonstrated accountability, continuous development, collaboration, and strong communication, and storytelling skills
• Ability to network and collaborate with colleagues from diverse technical backgrounds to build and enable end to end solutions

What We Offer:

• Full Benefit Package (Medical, Dental & Vision) that starts the same day you do
• 401k plan with company match, Profit Sharing & Retirement Savings Contribution
• Paid Vacation, 12 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts among others
• A culture that promotes work/life balance, celebrates diversity and offers numerous family-oriented events throughout the year