Conduct soy and corn researches/trials according to procedures established and adapt new procedures when necessary.
Plan new trials/researches with research manager support.
Responsible for activities for both soy and corn, such as planning, planting, leaf sampling, data taking, harvest, seed movement and, data quality validation and data analysis.
Maintain and improve daily operations to keep work efficient.
Supervise assigned projects.
Maintain research facilities and operations inside and outside CORTEVA location in complete accordance to CORTEVA safety standards.
Maintain research equipments in perfect conditions.
Coordinate and evaluate field implementations (planning, planting, fertilizing, preparing soil, irrigating, controlling insects, preparing seed, etc).
Plan and implement the logistic for field equipments shipping and evaluations in appropriate time
Designate tasks, instruct and supervise part time workers.
Plan the needs for temporary work hiring for soy harvest and safrinha corn planting and evaluation.
Help controlling operational expenses within budget.
Interact with sourcing department to plan fertilizer, insecticide, fungicide, label purchases, etc.
Inserts and extracts data of the CORTEVA database system.
Interact with Supply for administrative and safety purposes
Coordinate field evaluations and data analysis
Education: Minimum: M.Sc. in genetics, plant breeding, molecular biology or related field
Desirable: PhD. in genetics, plant breeding, molecular biology or related field
Experience: 2 to 4 years experience in plant breeding activities
KNOWLEDGE, SKILLS AND ABILITIES
What knowledge, skills or abilities are important to perform the duties of this position?
Strong interpersonal and communication skills
Ability to delegate responsibilities
Good leadership abilities
Advanced English skills
Computer systems (including Windows applications)
Field experience in preparing, planting, conducting experiments and taking data, using modern data collector devices.
Knowledge of genetics, plant breeding, statistics and biotechnology
Knowledge of statistical software (R, ASReml)
Ability to analyze phenotypic and genotypic data
Knowledge of agronomic related activities, such as field equipment, soil fertility and plant physiology