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Statistical Geneticist

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See More Jobs From Bayer CropScience

Location: Research Triangle Park, North Carolina, South United States, USA
Company: Bayer
               Apply below
Industry Sector: Agribusiness
Industry Type: Biotechnology
Career Type: Researcher/Scientist
Job Type: Full Time
Minimum Years Experience Required: 5
Salary: .

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Bayer CropScience (BCS) is one of the world’s leading innovative crop science companies in
the areas of crop protection, non-agricultural pest control, seeds and plant biotechnology.
With our headquarters in Monheim, Germany, Bayer CropScience has a global workforce of
about 17,900, and is represented in more than 120 countries. BCS is structured into six
Business Operations units: four regional crop protection units and two units responsible for
Environmental Science and BioScience – offering an outstanding range of products and
extensive service backup for modern, sustainable agriculture as well as for non-agricultural
applications.


Job description

The molecular breeding group develops and validates molecular breeding
processes to maximize crop breeding efficiency. As a part of this group, the Biometrics unit
focuses on statistical genetics, experimental design and data analysis aspects with teams
located in Ghent, Belgium, Morrisville, NC, and Singapore. This position contributes actively
to these tasks, and oversees the activities of the North American team.
The incumbent will:


• Contribute to the development, validation and implementation of molecular breeding
processes to meet efficiency and product delivery objectives;
• Interact with discovery breeders, molecular breeders and crop geneticists;
• Be responsible for concept development, experimental and population design, algorithm
and analysis script development, and implementation of this in software tools for breeders;
• Supervise activities of the North American Biometrics team to build strong functional
interactions with all stakeholders;
• Plan and monitor team activities versus project plans;
• Ensure technical quality and compliance with standards;
• Motivate, coach and hire staff and manage the team budget;
• Contribute to the molecular breeding strategy by creatively implementing new or existing
approaches
• Travel, as needed, domestically and internationally, 15%.


Your qualifications The selected candidate is required to possess the following:
• M. S. or Ph.D. degree in statistical genetics, statistics or quantitative genetics or related
field;
• 5 years’ relevant work experience;
• Knowledge of molecular breeding methods;
• Expertise in the statistical analysis software R. Knowledge of other programming
languages is an asset as well as exposure to Bayesian statistics;
• Leadership and team management skills;
• Strategic thinking, creative and innovative mindset;
• Good reporting and communication skills in English (working language);
• Team player with strong interpersonal communication skills;
• Ability to work in a multicultural environment;
• Ability to travel, domestically and internationally, 15%.


Benefits:

We offer a wide variety of competitive compensation and benefit programs.
In addition to a competitive base salary, you will be eligible for an array of innovative rewards
and recognition programs, variable pay and incentive opportunities as well as benefits
coverage beginning on your first day of employment. We are committed to helping our
employees maintain a healthy balance between their responsibilities at work and home. You
will be eligible for paid time off programs, paid company holidays, flexible work options and
numerous site conveniences. We are also committed to supporting your professional
development through career ladders, training programs, tuition assistance and professional
association events.


If you meet the requirements of this unique opportunity, we encourage you to explore how you
can make a difference at Bayer by applying now at:


To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
www.myBayerjob.com
Bayer is an Equal Opportunity Employer
Reference Code: 0000031606