Applied Field Analytics Scientist

The North America Applied Field Data Scientist (NA-AFDS) is responsible for the review and optimization of trialing and operational resources improving delivery of commercial launches in the NA Seeds Development organization reporting through the Applied Genetics Organization. The NA-AFDS will support market segment teams of corn, soybean, hybrid wheat organizations by 1) conducting reviews and power analysis of current trialing footprints across crops and market segments and 2) review and challenge phenotypic data collection protocols and proof of concepts (POCs) to improve the data collection and quality of key traits. The NA-AFDS collaborates with other Applied Genetics Scientist, Discovery Breeding, Data Analytics Scientists, and Operational Research Teams to implement new data analytics, trialing designs and phenotyping techniques to continue to drive speed and quality of commercial launches.

Accountabilities

• Work as a member of the North America Applied Genetics Team, contributing to the delivery of corn, soy, and hybrid wheat product development pipelines, supporting the accelerated rate of genetic gain by manipulating the stage plan, trialing, and operational data collection protocols
• Suggest improvements needed to data quality, and/or protocols to drive early and late-stage advancement with operational research and applied genetics teams
• Assist in providing Applied Genetic Scientist, Trialing and Operational Researchers recommendations based on data analysis to improve phenotypic assessments and protocols
• Assess improvements in accuracy, repeatability and quality deployed by trialing, operations, and market segments to improve trial and data collection of opportunistic traits. Provide analysis of (proof of concepts) POCs to scale up or discontinue based on analytical recommendations and analysis
• Evaluate and recommend key performance indicators (KPIs) to track trialing and operational improvements on a yearly basis. Assist in the implementation of the above-mentioned results to allow hand-off to production environments for AGS scientists, trialing and operations and other teams supporting the pipeline to track progress
• Access and combine multiple and disparate data sources and types for quality-control (DQC), standardization, and preparation for analysis
• Perform complex analysis, simulation, and/or mathematical modeling using large and diverse datasets to uncover underlying trends, patterns, data relations cost saving opportunities, and operational efficiency gains, using a combination of mostly existing analytical software but also newly developed methods or scripts
• Create and maintain visualizations and/or interactive dashboards of data connections, analysis, and results to enable timely, accurate, and effective communication of pipeline progress and risks
• Create reports and presentations that effectively summarize the analytical process, results, conclusions, risks, and recommendations for implementation, operational improvements, and/or securing funding
• Effectively communicate data analysis, results, conclusions, and recommendations to a broad audience of technical and non-technical shareholders and stakeholders, across functions
• Work closely with other Data Scientists, Trialing/Operations Leads, and Senior Data Scientists within the team, and actively seek involvement from different cross-functional teams and stakeholder participation to identify challenges/gaps, understand analytical needs, and deliver tailored, impactful solutions.

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

PLEASE NOTE:  candidates must already be in the United States and not require visa sponsorship.

Required:

• Master’s or Ph.D. degree in Agriculture, Agronomy, Plant Science, Plant Breeding, Biostatistics, Computational Biology, Statistics, Genetics, Data Science, or a related field
• Basic knowledge of corn, wheat and/or soy germplasm, diversity, and management
• Familiarity with crops, plant science, plant breeding, statistics and experimental design, genetics, or other related disciplines
• 3+ years of hands-on experience in biological data analysis from at least two data types (phenotypic, environmental, geo-spatial, molecular etc.), with a proven track record of leveraging results to drive significant impact
• Experience with one or more tools for statistical data analysis, data summarization, and graphing. Familiarity and some experience with at least one programming language (R, SQL, and/or Python)
• Familiarity with and preferably experience with at least one data visualization tool (RShiny, Tableau, Power BI, SAS-based or similar)
• Ability to independently run models/simulations and draw conclusions based on results
• Experience with high throughput, large scale data analysis methods, quality control, and routines
• Demonstrated experience and skills in manipulating and cleaning large datasets
• Proven ability to work in a team environment

• 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, 9 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

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.

Family and Medical Leave Act (FMLA
Equal Employment Opportunity Commission's (EEOC)
Employee Polygraph Protection Act (EPPA)

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Salary range:  $80,000-100,000