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lavori da Agriculture in località United States

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

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EUR 40.000 - 60.000
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Scientist (m/w/d) Quantitative Genetics Sugarbeet & Cereals
KWS SAAT SE
Einbeck
In loco
EUR 40.000 - 60.000
Tempo pieno
3 giorni fa
Candidati tra i primi

Descrizione del lavoro

A leading agricultural research company is seeking a Quantitative Genetics Scientist (m/f/d) for Sugarbeet and Cereals at its headquarters in Einbeck, Germany. The position involves data analysis to drive breeding program success, develop predictive breeding tools, and collaborate on innovative strategies. Candidates should hold a Ph.D. and possess experience in quantitative genetics, with proficiency in statistical software. The role supports both professional growth and significant contributions to breeding excellence.

Servizi

Capital formation benefits
Company pension plan
Christmas and holiday bonuses
Childcare allowance
Company bike

Competenze

  • Ph.D. in agricultural sciences focused on plant breeding and quantitative genetics.
  • Experience with hybrid crops and passion for data analysis.
  • Ability to work with large datasets and proficiency in statistical software.

Mansioni

  • Ensure and optimize data analytics and biostatistics support across crops.
  • Develop understanding of hybrid crops and their data analysis needs.
  • Evaluate and expand quantitative genetics capabilities to improve breeding programs.

Conoscenze

Data analysis
Statistical software (R, Python, ASReml)
Project management
Communication skills

Formazione

Ph.D. in agricultural sciences
Descrizione del lavoro

Field of Work: Research & Development

Location: Einbeck, Lower Saxony, DE

Legal Entity: KWS SAAT SE & Co. KGaA

Contract Type: Regular

Onsite/Remote: Onsite

Job ID: 16121

Quantitative Genetics Scientist (m/f/d) for Sugarbeet and Cereals

We are looking for a Quantitative Genetics Scientist (m/f/d) for Sugarbeet and Cereals for a permanent employment contract, on a full-time basis within KWS SAAT SE & Co. KGaA at our headquarters in Einbeck (Lower Saxony / Germany).

In this position, you will work closely with the global sugar beet and cereals breeding and breeding technology application teams. You will have the opportunity to contribute to the development and application of innovative predictive breeding tools.

Your responsibilities:
  • Ensure and optimize application support in data analytics and biostatistics across multiple crops to drive breeding program success and increase rate of genetic gain.
  • Develop a deep understanding of hybrid crops and the data analysis needs based on breeding strategy and operations
  • Critically evaluate and continually expand quantitative genetics capabilities to improve breeding programs.
  • Maintain a strong understanding of scientific developments related to data analysis methods.
  • Works independently to perform standard quantitative genetic analyses, including using mixed linear models to analyze phenotypic data, performing genomic predictions, analyses for cross planning, and monitoring genetic gain and genetic diversity.
  • Proactively develops, optimizes and automates data analysis pipelines and systems in collaboration with other biostatisticians and members of the Breeding Information and Digital Product Management teams.
  • Works closely with the Biostatistics and Digital Product Development teams to identify, test and implement innovative methods related to breeding program optimization, data-driven decision making, statistical analysis, simulation, algorithmic optimization.
  • Regularly reviews emerging literature related to the implementation and validation of data analytics.
  • Participates in collaborative scientific projects with public institutions
Your Profile:
  • Ph.D. in agricultural sciences with a focus on plant breeding and quantitative genetics, biostatistics or equivalent
  • Few years of postgraduate experience in a relevant field is a plus (e.g. quantitative genetics, biostatistics)
  • Experience with hybrid crops
  • Passion for data analysis and ability to work with large data sets
  • Proficiency in statistical software (R, Python, ASReml)
  • Strive 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
Benefits and growth at KWS!
  • As a Scientist (m/f/d), you will contribute significantly to the success of the breeding department and the development of excellent varieties.
  • As a family-owned company, we live a culture based on the values of team spirit, closeness and trust, independence and foresight.
  • True to our motto "Make yourself grow", we encourage individual professional and personal development.
  • We create the right environment for you: Capital formation benefits, company pension plan, Christmas and holiday bonuses, childcare allowance, company bike.

Advance your career and grow with KWS! We look forward to receiving your digital application via our job portal

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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