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Job Detail 
Job Detail

Job Summary
Statistical Geneticist – Trait Integration
Job Code: 000QZ
POSTED: Nov 02
Salary: Open Location: Iowa
Employer: Monsanto Type: Full Time - Experienced
Categories: Statistical organization & administration, Statistical process control/quality assurance, Statistical theory/probability Required Education: Doctorate



Employer Information
About Monsanto

Monsanto is an agricultural company. We apply innovation and technology to help farmers around the world produce more while conserving more. We help farmers grow yield sustainably so they can be successful, produce healthier foods, better animal feeds and more fiber, while also reducing agriculture's impact on our environment.




Job Description
Statistical Geneticist – Trait Integration

Location: Ankeny, IA

Monsanto is currently seeking a high motivated Statistical Geneticist to join the Global Trait Integration organization to develop, promote, and implement strategies for efficient stacking of multiple biotechnology traits into elite germplasm, and to evaluate the performance of biotech crops in agricultural field trials.

This individual will have the opportunity to develop and implement cutting edge trait stacking strategies across multiple crop platforms. The role requires the Statistical Geneticist to collaborate with scientist in multiple divisions in Monsanto's Technology organization.

Please note that only applications submitted through the Monsanto career web site will be considered for this position.

To view a more complete and detailed job description of this exciting position, please visit our website at www.monsanto.com and to apply online select req. # 000QZ. We offer very competitive salaries and an extensive benefits package.

Monsanto values diversity and is an equal opportunity employer. M/F/D/V


Requirements
Required Skills/Experience:
  • PhD in Statistical Genetics or Plant Breeding with 5+ years of experience that demonstrate increasing levels of responsibility
  • Comprehensive understanding of MABC theory and methods
  • Strong computational skills using R, SAS, Perl, or Java.
  • Experience in multidisciplinary research and teamwork
  • Strong written and oral communication skills

    Desired Skills/Experience:

  • Previous experience with QTL linkage analysis, gene mapping, or data mining and visualization of large databases.


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