Traveling Maintenance Specialist Newbury Management Company
West Des Moines, IA30+ days ago
Highlights
Develop modeling approaches for G x E x M interactions to predict the outcomes of various management scenarios (planting date, variety selection, fertility management, crop care, etc.) in corn, soybean and cotton production systems across diverse geographies. Understand interactions among genotype, weather, soil, management, and cropping history to clearly define modeling problems, input requirements, outputs, assumptions, and validation criteria.
Numbers & Facts
| Location | Johnston, IA (Remote) |
| Industry | Staffing/Employment Agencies |
| Salary | $50–$54 Per Hour |
| Company Size | 100 to 499 employees |
| Year Founded | 1990 |
| Website | http://www.sunrisesys.com/ |
Description
Job Title: Agronomic Systems Modeling Specialist
Job ID: 26-04971
Location: Remote
Duration: 12 Months on W2 Contract
Job Description:
Person can sit at either JD Cary or JDF (preferred), but will consider fully remote. If remote, would need to be available roughly 8-5 Central time. Would also need to be able to travel to Des Moines 1 or 2 times pers year.
Ideally looking for someone with a PhD (related to process based crop modeling (expert in Corn or Soy)) and some industry experience (Ag or seeding companies).
Responsibilities
Job ID: 26-04971
Location: Remote
Duration: 12 Months on W2 Contract
Job Description:
Person can sit at either JD Cary or JDF (preferred), but will consider fully remote. If remote, would need to be available roughly 8-5 Central time. Would also need to be able to travel to Des Moines 1 or 2 times pers year.
Ideally looking for someone with a PhD (related to process based crop modeling (expert in Corn or Soy)) and some industry experience (Ag or seeding companies).
Responsibilities
- Develop modeling approaches for G x E x M interactions to predict the outcomes of various management scenarios (planting date, variety selection, fertility management, crop care, etc.) in corn, soybean and cotton production systems across diverse geographies.
- Design and execute model calibration, validation, and sensitivity analyses to quantify model performance, uncertainty, and limitations across geographies, years, and management systems.
- Understand interactions among genotype, weather, soil, management, and cropping history to clearly define modeling problems, input requirements, outputs, assumptions, and validation criteria.
- Work with large, machine-generated agricultural datasets including planter, sprayer, harvest data.
- Work with large geospatial datasets including soil maps, topography, multispectral imagery, remote sensing products, and environmental data layers.
- Develop repeatable workflows for processing, summarizing, and visualizing outcomes of these models.
- Develop agronomic logic, constraints, and validation frameworks that ensure AI-generated recommendations are agronomically sound, transparent, and scientifically defensible.
- Collaborate with agronomists, data scientists, software developers, and product managers to build, scale, and communicate outcomes of these models.
Required Qualifications
- Exp. developing, calibrating, validating, and applying APSIM, DSSAT, or comparable process-based crop models for agricultural decision support.
- Strong understanding of crop physiology, phenology, soil water dynamics, nutrient cycling, and their influence on crop response to management and environment.
- Strong understanding of at least one major US row crop production system, with expertise in corn and soybean production preferred.
- Advanced proficiency in R and/or Python for data analysis, simulation workflows, and model development.
- Exp. working with Databricks, SQL, cloud computing environments, APIs, for scalable analytical and simulation workflows.
- Demonstrated experience with AI assisted development.
- Experience working with large multi-environment, multi-year, or multi-management agricultural datasets and developing reproducible analytical workflows.
- Ability to communicate model assumptions, results, limitations, and uncertainty to both technical and nontechnical audiences.
- Experience translating scientific models or research outputs into practical decision-support tools, recommendations, or operational workflows for growers.
- Master’s or Ph.D. in agronomy, crop science, soil science, biological systems engineering, agricultural engineering, quantitative genetics, or a closely related discipline.
Preferred Qualifications
- Experience with John Deere Operations Center and precision agriculture technologies including planting, spraying, harvest, automation, sensing, and variable-rate management systems.
- Familiarity with machine-generated datasets and common grower-facing agronomic data layers (field boundaries, management zones, digital elevation models).
- Experience working in agricultural industry with agronomic model development.
- Experience developing agronomic constraints or validation systems for AI-generated recommendations.
- Experience integrating drone and satellite data into analytics pipelines.
- Proficiency in SQL, R, Python, Tableau, Power BI, or similar tool
Compensation:
The hourly rate for this position is between $ 50.00-$54.00per hour.
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
Benefits:
Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations.
Contact:
Madhu Sudhan J: madhu.s@sunrisesys.com | 319-242-4032 | URL: www.sunrisesys.com
About Company
Sunrise Systems was founded in 1990 with a clear vision to deliver world-class staffing service solutions in all labor categories, including IT consulting and solutions; all with the commitment to provide service that exceeds expectations and become the most trusted name in the industry. More than two and a half decades later, we pride ourselves on being at the forefront of the staffing industry. Combining our deep industry expertise, insights, and global resources, we have partnered with our clients to connect them with top professionals across several different industries.
We provide cost-effective Managed Staffing Solutions, Information Technology and Information Technology Consulting Services to several Fortune 500 companies and U.S. Government agencies. We provide our clients with flexible engagement models and customized products that are budget and time specific. Understanding the challenges that every business faces, we offer our services either on-site at the clients' site or from one of our globally distributed technology centers. Our onshore and offshore development capabilities ensure that we excel at meeting customer requirements every single time.
Our collective business experience spans over two and a half decades and ranges from:
- Business, management, and technical fields
- Information technology consulting and software solutions.
- Providing strategic support for the development and long-term growth of new business ventures across several industries including but not limited to; accounting, banking, finance, and recruitment.
- Motivating technology staff and establishing partnerships with Fortune 500 companies
Sunrise Systems has a vast range of competence in:
- Design, development, and support of cloud-based solutions from simple to highly complexed
- Database administration of multi-platform applications, complex databases, and web-based environments that include all aspects of installation, planning, maintenance, and monitoring.
- Data processing and data migration
- Application re-engineering and platform migration
- Working with the Information Systems and end-user communities at all levels to resolve issues and establish consensus.
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