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KWS SAAT
last mo.

Scientist Quantitative Genetics Sugarbeet & Cereals(m/w/x)

Einbeck
Full-timeOn-siteExperienced

Description

In this role, you will collaborate with global teams to enhance breeding programs through innovative predictive tools and data analytics. Your work will involve analyzing genetic data, optimizing processes, and staying updated on scientific advancements.

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Requirements

  • Ph.D. in agricultural sciences with a focus on plant breeding and quantitative genetics, biostatistics, or equivalent
  • Postgraduate experience in a relevant field is a plus
  • Experience with hybrid crops
  • Passion for data analysis and ability to work with large data sets
  • Proficiency in statistical software (R, Python, ASReml)
  • Striving for value-added solutions in multidisciplinary teams
  • Project management and good communication skills
  • English is a prerequisite, professional knowledge of German would be a plus

Education

Doctoral / PhD

Work Experience

approx. 1 - 4 years

Tasks

  • Ensure application support in data analytics and biostatistics
  • Optimize breeding program success and increase genetic gain
  • Develop a deep understanding of hybrid crops and their data analysis needs
  • Evaluate and expand quantitative genetics capabilities
  • Maintain knowledge of scientific developments in data analysis methods
  • Perform standard quantitative genetic analyses independently
  • Use mixed linear models to analyze phenotypic data
  • Conduct genomic predictions and analyses for cross planning
  • Monitor genetic gain and genetic diversity
  • Develop and automate data analysis pipelines and systems
  • Collaborate with biostatisticians and Breeding Information teams
  • Identify and implement innovative methods for breeding program optimization
  • Engage in statistical analysis, simulation, and algorithmic optimization
  • Review emerging literature on data analytics implementation
  • Participate in collaborative scientific projects with public institutions

Tools & Technologies

RPythonASReml

Languages

EnglishBusiness Fluent

GermanBasic

Benefits

Competitive Pay

  • Capital formation benefits

Retirement Plans

  • Company pension plan

Bonuses & Incentives

  • Christmas and holiday bonuses

Additional Allowances

  • Childcare allowance

Company Bike

  • Company bike
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