University of Illinois Urbana-Champaign
Agricultural, Consumer, and Environmental Sciences
Department of Agricultural and Consumer Economics
Research Specialist (Data Scientist), Soybean Innovation Laboratory
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Research Specialist (Data Scientist), Soybean Innovation Laboratory
POSITION SUMMARY:
Conducting specialized research tasks that require advanced skills and knowledge in Soybean economic analysis in African Environments, agricultural science, data analysis, and biotechnology.
MAJOR DUTIES AND RESPONSIBILITIES:
Research Activities :
In this role, the candidate will spend 80% of their time conducting specialized research tasks that require advanced skills and knowledge in Soybean economic analysis in African Environments, agricultural science, data analysis, and biotechnology. The focus will be on the following key studies:
• Mapping Africa's Soybean Frontier (Soybean):
o Utilize geographic information systems (GIS) and statistical modeling to delineate Target Population Environments (TPEs) for multinational breeding programs.
o Collaborate with local stakeholders to characterize and quantify potential soybean growing regions in Africa, requiring expertise in agronomy and regional agricultural practices.
• Seasonal Dynamics in African Soybean
o Conduct detailed analysis of planting seasons and envirotype each location using advanced environmental data gathering and analysis techniques.
o Delineate TPEs by assessing environmental differences, developing strategic breeding entry-list definitions, and improving licensing processes, necessitating skills in environmental science and strategic planning.
• Artificial Intelligence Models for Predicting Soybean Performance:
o Develop and implement machine learning models to predict soybean yields in novel environments, requiring proficiency in AI and data science.
o Translate complex biological features into actionable insights and address dataset imbalances, leveraging skills in computational biology and statistical analysis.
• Genomic Enhancement of Yield Prediction:
o Aggregate and analyze genomic data to assess improvements in yield prediction, requiring expertise in genomics and bioinformatics.
o Quantify the impact of genetic data on breeding program efficiency and resource allocation, utilizing skills in genetic analysis and program management.
• Decoding the Soybean Genome:
o Integrate genomic data for yield prediction, focusing on identifying key genomic regions with significant impact, necessitating advanced knowledge in genetics and molecular biology.
o Enhance the breeding program's ability to select and advance soybean varieties effectively, requiring skills in plant breeding and genetic engineering.
Project Management and Communications:
o Manage relationships with stakeholders globally.
o Collaborate with cross-functional teams to understand specific requirements and deliver practical solutions.
o Present research findings to internal and external stakeholders.
o Communicate complex technical concepts to non-technical stakeholders effectively.
Other Assigned Duties
POSITION REQUIREMENTS & QUALIFICATIONS:
Education and Experience
Required:
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