The AI Job Search Engine
Scientist Quantitative Genetics Sugarbeet & Cereals(m/w/x)
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
- English – Business Fluent
- German – Basic
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
Not a perfect match?
- KWS SAATFull-timeOn-siteExperiencedEinbeck
- KWS SAAT
Wissenschaftler in Quantitativer Genetik und Biostatistik(m/w/x)
Full-timeOn-siteNot specifiedEinbeck - KWS SAAT
Advanced Scientist in Quantitative Genetics and Biostatistics for Trait Discovery(m/w/x)
Full-timeOn-siteNot specifiedEinbeck - KWS SAAT
Research Intern in Plant Breeding and Related Fields(m/w/x)
Full-timeInternshipOn-siteEinbeck, Prosselsheim, Petkus, Wetze, Seligenstadt, Wanzleben-Börde - KWS SAAT
Praktikum im Bereich Pflanzenzüchtung und verwandte Fachgebiete(m/w/x)
Full-timeInternshipOn-siteEinbeck, Wetze, Prosselsheim, Seligenstadt, Petkus, Wanzleben-Börde
Scientist Quantitative Genetics Sugarbeet & Cereals(m/w/x)
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
- English – Business Fluent
- German – Basic
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
About the Company
KWS SAAT
Industry
Agriculture
Description
The company is one of the world’s leading plant breeding companies, focusing on seed production and innovation.
Not a perfect match?
- KWS SAAT
Quantitativen Genetiker für Zuckerrüben und Getreide(m/w/x)
Full-timeOn-siteExperiencedEinbeck - KWS SAAT
Wissenschaftler in Quantitativer Genetik und Biostatistik(m/w/x)
Full-timeOn-siteNot specifiedEinbeck - KWS SAAT
Advanced Scientist in Quantitative Genetics and Biostatistics for Trait Discovery(m/w/x)
Full-timeOn-siteNot specifiedEinbeck - KWS SAAT
Research Intern in Plant Breeding and Related Fields(m/w/x)
Full-timeInternshipOn-siteEinbeck, Prosselsheim, Petkus, Wetze, Seligenstadt, Wanzleben-Börde - KWS SAAT
Praktikum im Bereich Pflanzenzüchtung und verwandte Fachgebiete(m/w/x)
Full-timeInternshipOn-siteEinbeck, Wetze, Prosselsheim, Seligenstadt, Petkus, Wanzleben-Börde