Die KI-Suchmaschine für Jobs
Scientist Quantitative Genetics Sugarbeet & Cereals(m/w/x)
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Attraktive Vergütung
- •Capital formation benefits
Betriebliche Altersvorsorge
- •Company pension plan
Boni & Prämien
- •Christmas and holiday bonuses
Sonstige Zulagen
- •Childcare allowance
Firmenfahrrad
- •Company bike
- KWS SAATVollzeitnur vor OrtBerufserfahrenEinbeck
- KWS SAAT
Research Intern in Plant Breeding and Related Fields(m/w/x)
VollzeitPraktikumnur vor OrtEinbeck, Prosselsheim, Petkus, Wetze, Seligenstadt, Wanzleben-Börde - KWS SAAT
Team Lead Seed Treatment Sugarbeet(m/w/x)
Vollzeitnur vor OrtManagementEinbeck - KWS SAAT
Praktikum im Bereich Pflanzenzüchtung und verwandte Fachgebiete(m/w/x)
VollzeitPraktikumnur vor OrtEinbeck, Wetze, Prosselsheim, Seligenstadt, Petkus, Wanzleben-Börde - KWS SAAT
Teamleiter Wirkstoffbehandlung Zuckerrübensaatgut(m/w/x)
Vollzeitnur vor OrtBerufserfahrenEinbeck
Scientist Quantitative Genetics Sugarbeet & Cereals(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
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.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •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
Ausbildung
Berufserfahrung
ca. 1 - 4 Jahre
Aufgaben
- •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 & Technologien
Sprachen
Englisch – verhandlungssicher
Deutsch – Grundkenntnisse
Benefits
Attraktive Vergütung
- •Capital formation benefits
Betriebliche Altersvorsorge
- •Company pension plan
Boni & Prämien
- •Christmas and holiday bonuses
Sonstige Zulagen
- •Childcare allowance
Firmenfahrrad
- •Company bike
Über das Unternehmen
KWS SAAT
Branche
Agriculture
Beschreibung
The company is one of the world’s leading plant breeding companies, focusing on seed production and innovation.
- KWS SAAT
Quantitativen Genetiker für Zuckerrüben und Getreide(m/w/x)
Vollzeitnur vor OrtBerufserfahrenEinbeck - KWS SAAT
Research Intern in Plant Breeding and Related Fields(m/w/x)
VollzeitPraktikumnur vor OrtEinbeck, Prosselsheim, Petkus, Wetze, Seligenstadt, Wanzleben-Börde - KWS SAAT
Team Lead Seed Treatment Sugarbeet(m/w/x)
Vollzeitnur vor OrtManagementEinbeck - KWS SAAT
Praktikum im Bereich Pflanzenzüchtung und verwandte Fachgebiete(m/w/x)
VollzeitPraktikumnur vor OrtEinbeck, Wetze, Prosselsheim, Seligenstadt, Petkus, Wanzleben-Börde - KWS SAAT
Teamleiter Wirkstoffbehandlung Zuckerrübensaatgut(m/w/x)
Vollzeitnur vor OrtBerufserfahrenEinbeck