Remote Agronomic Modeling Architect

Kelly; Cary (NC); Remote; USD 62,000 - 69,000; Full time

Job summary

Kelly seeks an Agronomic Systems Modeling Specialist to design, calibrate, and validate process-based crop models for decision support in corn, soybean, and cotton across diverse geographies. You will calibrate with real-world data, quantify uncertainty, and work closely with agronomists, data engineers, and product managers to deliver robust, scalable analytics.

Remote-ready with Cary or Des Moines travel.

Qualifications

• Exp. developing, calibrating, validating, and applying APSIM, DSSAT, or comparable crop models.
• Strong understanding of crop physiology, phenology, soil water dynamics, nutrient cycling.
• Experience with US row crop systems, esp. corn and soybean.
• Advanced proficiency in R and/or Python for analysis and modeling.
• Familiarity with Databricks, SQL, cloud environments, APIs for scalable workflows.
• Experience with AI-assisted development and reproducible analytics.
• Ability to communicate model assumptions and results to diverse audiences.
• Master’s or Ph.D. in relevant fields.

Responsibilities

• Develop modeling approaches for G x E x M interactions across geographies.
• Design and execute model calibration, validation, and sensitivity analyses.
• Define modeling problems and validation criteria with stakeholders.
• Handle large agronomic datasets and geospatial layers.
• Develop repeatable workflows for processing and visualizing model outcomes.
• Create agronomic constraints and validation frameworks for AI recommendations.
• Collaborate with agronomists, data scientists, software developers, and product managers.

Skills

APSIM modeling

DSSAT

R/Python

SQL

Databricks

Geospatial analysis

AI-assisted

crop physiology

Education

MS/PhD in agronomy

Tools

Databricks

SQL

Tableau

Power BI

Job description

Kelly seeks an Agronomic Systems Modeling Specialist to design, calibrate, and validate process-based crop models for decision support in corn, soybean, and cotton across diverse geographies. You will calibrate with real-world data, quantify uncertainty, and work closely with agronomists, data engineers, and product managers to deliver robust, scalable analytics.

Remote-ready with Cary or Des Moines travel.