Syngenta Group

Agriculture

AgricultureProcessOptimizationEngineer

$120–180k ~AI est. Jalapa, Jalapa, Guatemala FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Agriculture Process Optimization Engineer at Syngenta Group. Skills: Process optimization, Operational workflows, Continuous improvement, Resource utilization. Engineer and redesign lab workflows. Improve sample handling”

Industry & Context.

Agriculture
Problems you'll solve

Problem-solving capabilities; Root cause analysis

Eligibility Requirements

Immediate availability

What They're Looking For.

Must Have

Bachelor's degree in Industrial Engineering, 2-3 years of experience in process engineering, Experience with AI tools for productivity, Experience with workflow modeling

Nice to Have

Lean Six Sigma certification, Experience in agricultural operations, Experience in laboratory environments, Research & Development Experience, Production & Supply Experience

What You'll Do.

Engineer and redesign lab workflows

Improve sample handling

Improve data processing

Improve result delivery

Analyze end-to-end process flows

Optimize end-to-end process flows

Develop scalable workflow solutions

Implement scalable workflow solutions

Research automation solutions

Recommend automation solutions

Map the DH process space

Identify engineering challenges

Develop labor utilization tracking systems

Maintain labor utilization tracking systems

Monitor direct labor hours

Monitor indirect labor hours

Optimize workforce allocation

Track productivity rates

Track labor efficiency metrics

Analyze overtime patterns

Develop strategies to optimize scheduling

Implement standard work measurement techniques

Establish baseline performance

Track actual versus planned metrics

Identify productivity opportunities

Monitor deviations in workflow estimates

Update prediction models

Assess impacts of workload variations

Coordinate daily activities

Optimize production scheduling

Monitor timing between stages

Monitor progress between stages

Ensure continuous workflow

Implement lean manufacturing principles

Maintain accurate records

Perform statistical analysis

Identify process improvement opportunities

Track stage-specific capacities

Track throughput metrics

Generate regular reports

Monitor resource utilization

Monitor resource efficiency

Optimize worker allocation

Track worker hours/area

Develop capacity planning models

Develop resource forecasting tools

How You'll Work.

Team & Collaboration

Cross-functional teams

Communication Scope

Clear communication

Process & Methodology

Coordination skills

Full Job Description

About Syngenta Syngenta is a global leader in agricultural innovation with a presence in more than 90 countries. Syngenta is focused on developing technologies and farming practices that empower farmers, so they can make the transformation required to feed the world’s population while preserving our planet. Its bold scientific discoveries deliver better benefits for farmers and society on a bigger scale than ever before. Guided by its [Sustainability Priorities](https://www.syngenta.com/en/sustainability), Syngenta is developing new technologies and solutions that support farmers to grow healthier plants in healthier soil with a higher yield. Syngenta Crop Protection is headquartered in Basel, Switzerland; Syngenta Seeds is headquartered in the United States. Read our [stories](https://www.syngenta.com/en/innovation-agriculture/our-stories) and follow us on [LinkedIn](http://www.linkedin.com/company/syngenta), [Instagram](https://www.instagram.com/syngenta/?hl=en) & [X](http://www.x.com/syngenta). We make a difference At Syngenta, our goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. To support this mission, Syngenta’s Continuous Nurseries is seeking a Agriculture Process Optimization Engineer in Jalapa, Guatemala. The DH Operations & Process Engineering Coordinator is responsible for managing, optimizing, and engineering all operational workflows across the doubled haploid (DH) production process at the Jalapa site. This role combines operational coordination with process engineering to drive efficiency, workforce management, optimize resource utilization, and implement continuous improvement initiatives throughout the production lifecycle. Accountabilities Process Engineering & Optimization: * Engineer and redesign lab and field workflows to improve sample handling, data processing, and result delivery. * Analyze and optimize end-to-end pr

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