Senior Research Associate

Há 2 dias


Indianópolis SP, Brasil Corteva Tempo inteiro

**Description**:
Gives support to technical research activities for soy, sorghum and corn, key contact for soy, corn and sorghum breeders. Helps as well in planning and conducting trials, registering, and analyzing data. Grants daily operational efficiency in field and/or station situations.

Conduct soy, sorghum, and corn research nursery and trials according to procedures established and adapt new procedures when necessary.
Plan new nursery and trials/research with research manager support.
Responsible for activities for soy, sorghum, 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 with CORTEVA safety standards.
Maintain research equipments in perfect conditions.
Interact with other departments to plan all nursery experiment activities.
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 for soy, corn and sorghum nursery.
Help controlling operational expenses within budget.
Interact with sourcing department to plan fertilizer, insecticide, fungicide, label purchases, etc.
Performs inventories.
Inserts and extracts data of the CORTEVA database system.
Interact with Supply for administrative and safety purposes.
Coordinate field evaluations and data analysis.

**Qualifications**:
M.Sc. or Specialization in genetics, plant breeding, molecular biology, or related field.
4 or more years' experience in plant breeding activities.
Strong interpersonal and communication skills.
Ability to delegate responsibilities.
Good leadership abilities.
Negotiation skills.
Desirable Advanced English skills.
Field experience in preparing, planting, conducting experiments and taking data, using modern data collector devices. Organizational skills.
Knowledge of genetics, plant breeding, statistics, and biotechnology.
Knowledge of statistical software.
Ability to analyze phenotypic and genotypic data.
Knowledge of agronomic related activities, such as field equipment, soil fertility and plant physiology.
Available for eventual traveling.
Driver license, category B.



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