Field Research & Seed Operations Assistant

Quality Consulting Group, LLC; Salinas (PR); In loco; USD 32.000 - 52.000; Tempo pieno

Descrizione del lavoro

QUALITY CONSULTING GROUP, LLC is seeking a contingent worker to support in Puerto Rico and the USA. You will perform field and processing tasks within a world-class manufacturing setting, assisting with equipment maintenance, sample handling, and field operations across seasonal phases.

Availability for all shifts, including weekends and holidays, is required. The role emphasizes agronomy and natural science foundations, with emphasis on data standardization and interpretation.

Competenze

• Interpret field observations (agronomic scouting).
• Standardize qualitative data (scales, categories).
• Relate observations to quantitative metrics (IPM).
• Leadership and organizational skills demonstrated.
• Contingent worker may need to expedite driver license process.

Mansioni

• Perform routine tasks in the Phytogen Seed Company research program.
• Tasks may include Field and Processing Worker duties.
• Assist with repair/maintenance of field equipment under supervision.
• Operate mobile field equipment (tractor, cotton picker) and stationary equipment.
• Sample processing: supplies prep, sorting, weighing, packing for shipping.
• General facility tasks: clean-up, organize samples and supplies.

Conoscenze

Interpret field observations

Standardize qualitative data

Relate observations to metrics

Leadership and organizational skills

Availability for all shifts

Formazione

Bachelor's Degree in Agronomy, Natural Science (Biology or Environmental Science), Statistics, Mathematics or Information Systems

Descrizione del lavoro

QUALITY CONSULTING GROUP, LLC is seeking a contingent worker to support in Puerto Rico and the USA. You will perform field and processing tasks within a world-class manufacturing setting, assisting with equipment maintenance, sample handling, and field operations across seasonal phases.

Availability for all shifts, including weekends and holidays, is required. The role emphasizes agronomy and natural science foundations, with emphasis on data standardization and interpretation.