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KWKWS SAAT

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

Einbeck
Full-timeOn-siteExperienced

Application support in data analytics and biostatistics for sugarbeet and cereal breeding programs at global plant breeding company. Ph.D. in agricultural sciences with plant breeding or biostatistics focus, and R/Python/ASReml proficiency required. Childcare allowance, company bike.

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

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

Work Experience

  • approx. 1 - 4 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent
  • GermanBasic

Tools & Technologies

  • R
  • Python
  • ASReml

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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