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Data-driven crop improvement specialist

Einbeck
beBeeQuantitative
Driver
Inserat online seit: 8 August
Beschreibung

Quantitative Genetics Expertise

KWS is a leading plant breeding company with nearly 5,000 employees worldwide. With a tradition of family ownership, the company has operated independently for almost 170 years, focusing on plant breeding and seed production.


Job Opportunity

In this position, you will collaborate closely with global sugar beet and cereals breeding teams to develop innovative predictive breeding tools.

Responsibilities:

* Provide data analytics support across multiple crops to drive breeding program success.
* Develop a deep understanding of crop-specific data analysis needs based on breeding strategy.
* Evaluate and expand quantitative genetics capabilities to improve breeding programs.
* Maintain a strong understanding of scientific developments related to data analysis methods.
* Perform standard quantitative genetic analyses using mixed linear models and genomic predictions.
* Collaborate with biostatisticians and digital product development teams to optimize data analysis pipelines and systems.

Requirements:

* Ph.D. in agricultural sciences with a focus on plant breeding and quantitative genetics or equivalent.
* Few years of postgraduate experience in relevant field (e.g. quantitative genetics, biostatistics).
* Experience with hybrid crops is beneficial.
* Passion for data analysis and ability to work with large data sets.
* Proficiency in statistical software (R, Python, ASReml).

As a Quantitative Genetics Scientist at KWS, you will make significant contributions to the success of the breeding department and the development of excellent varieties.

The company values team spirit, closeness, trust, independence, and foresight. We encourage individual professional and personal development, creating the right environment for you.

We offer benefits including capital formation plans, company pension plans, Christmas and holiday bonuses, childcare allowances, and company bikes.

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