GxE Agronomic Modeling Lead

VIVA USA Inc; Johnston (IA); Ibrido; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

VIVA USA Inc. is seeking a highly skilled agronomic data scientist to develop Genotype x Environment x Management models for corn, soybean, and cotton production.

You will leverage large datasets from connected equipment, weather, soils maps, satellite and drone imagery to build scalable agronomic decision-support tools for internal stakeholders and farmers. The ideal candidate holds a PhD related to crop modeling and has extensive experience with APSIM/DSSAT, plus proficiency in R or Python.

Competenze

• PhD related to process-based crop modeling (corn/soy/cotton preferred)
• Strong modeling and data analysis skills in R and/or Python
• Experience with APSIM, DSSAT or comparable crop models
• Experience handling large agronomic datasets and geospatial data
• Ability to communicate model assumptions and uncertainty to diverse audiences

Mansioni

• Develop G x E x M interaction models for various management scenarios across diverse geographies
• Calibrate, validate, and perform sensitivity analyses on models to quantify performance and uncertainty
• Work with large datasets from planters, sprayers, harvest data, soil maps, and imagery
• Design repeatable workflows for processing, summarizing, and visualizing model outputs
• Collaborate with agronomists, data scientists, software developers, and product managers to scale and communicate model results

Descrizione del lavoro

VIVA USA Inc. is seeking a highly skilled agronomic data scientist to develop Genotype x Environment x Management models for corn, soybean, and cotton production.

You will leverage large datasets from connected equipment, weather, soils maps, satellite and drone imagery to build scalable agronomic decision-support tools for internal stakeholders and farmers. The ideal candidate holds a PhD related to crop modeling and has extensive experience with APSIM/DSSAT, plus proficiency in R or Python.