Computational Agronomy Scientist
Durham, North Carolina, United States
USD 88K-131K (estimate) Senior-level Full Time
Tasks
- Adopt generative AI and AI assisted coding
- Communicate assumptions uncertainty and limitations
- Coordinate and mentor contributors
- Define problem scope and success criteria
- Design and oversee multi location field studies
- Develop model strategy and validation
- Develop standards and documentation
- Ensure scientific integrity and reproducibility
- Evaluate data quality
- Lead multidisciplinary workstreams
- Provide technical guidance and knowledge transfer
- Represent computational agronomy in forums
- Review models analytics methods and code
- Select scientific approach
- Solve agronomic problems
- Translate science into recommendations
Perks/Benefits
- N/A
Skills/Tech-stack
AI-assisted coding | Agronomic Decision Making | Applied statistics | Assisted coding | Calibration | Crop modeling | Data Quality | Decision Making | Experimental Design | Field Study | Field study design | Generative AI | Machine Learning | Modeling | Performance Evaluation | Plant pathology | Python | R | Reproducibility | Soil science | Statistics | Study design | Uncertainty Analysis | Validation
Education
Regions
Countries
States
Cities
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