Phenotyping Lead - Field Research & Ops

Vylor Inc.; Johnston (IA); On-site; USD 85,000 - 105,000; Full time

Benefits offered by this job

Health benefits

Four weeks paid time off

Parental leave

Retirement savings plan

Tuition reimbursement program

Job summary

Vylor, Inc. is seeking a Phenotyping Supervisor in Johnston, IA to lead phenotyping activities, coordinate trait scientists, and drive field operations for multiple crops. You will manage data quality, regulatory compliance, and staff development within the Johnston Research Center.

The role emphasizes leadership, collaboration with scientists, and optimization of research execution while maintaining safety and quality standards in a dynamic agrigenomics environment.

Qualifications

• Bachelor’s degree in Agribusiness, Agronomy, or related field.
• 3+ years of people leadership experience.
• Strong data handling and MS Office skills.
• Excellent verbal and written communication.
• Safety-conscious with risk management focus.
• Ability to work with diverse groups of people.
• Willing to work overtime and weekends during peaks.
• Driver’s license with valid record.
• Visa sponsorship not available.

Responsibilities

• Lead phenotyping activities and coordinate trait scientists and researchers.
• Oversee planting, phenotyping, and harvest operations.
• Ensure data quality and regulatory compliance for trials.
• Develop and mentor employees and contingent staff.
• Coordinate with CAMS and QA systems.

Skills

People leadership

Field operations

Data analysis

Regulatory compliance

Communication skills

Equipment operation

Project management

Education

Bachelor’s degree in Agribusiness or Agronomy

Tools

Microsoft Office

Regulatory databases

Job description

Vylor, Inc. is seeking a Phenotyping Supervisor in Johnston, IA to lead phenotyping activities, coordinate trait scientists, and drive field operations for multiple crops. You will manage data quality, regulatory compliance, and staff development within the Johnston Research Center.

The role emphasizes leadership, collaboration with scientists, and optimization of research execution while maintaining safety and quality standards in a dynamic agrigenomics environment.