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Staff data scientist Jobs in Bad Gandersheim

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Scientist (m / f / d) Quantitative Genetics (m / f / d)

Scientist (m / f / d) Quantitative Genetics (m / f / d)

KWS SAAT SEEinbeck, Niedersachsen, DE
Quantitative Genetics Scientist (m / f / d) for Sugarbeet and Cereals.Einbeck (Lower Saxony / Germany).In this position, you will work closely with the global sugar beet and cereals breeding and breedi...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Expert Direct Material and Services (m / f / d)

Expert Direct Material and Services (m / f / d)

KWS Berlin GmbHEinbeck, Lower Saxony, Germany
KWS is one of the world's leading plant breeding companies.Nearly 5,000 employees in more than 70 countries generated net sales of around €1. A company with a tradition of family ownership, KWS has ...Mehr anzeigenZuletzt aktualisiert: vor 1 Tag
Driver / Data Collector in Einbeck, Germany

Driver / Data Collector in Einbeck, Germany

Terry SootEinbeck
Must have a valid Driver Licence;.Good driving skills and clean driving record;.Private monitored parking space for corporate vehicle would be a plus. .General car knowledge would be a plus;.Enjoys...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
Housekeeping / Cleaning Staff(m / f / d)

Housekeeping / Cleaning Staff(m / f / d)

Residenz-Gruppe SeniorenresidenzenEinbeck, Niedersachsen, Deutschland
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Housekeeping / Cleaning Staff(m / f / d) bei Residenz-Gruppe Seniorenresidenzen | softgarden.Housekeeping / Cleaning Staff(m / f / d). Wilhelmstraße 35, 37574, Einbeck.With and without work experience.Die R...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Scientist (m / f / d) Quantitative Genetics (m / f / d)

Scientist (m / f / d) Quantitative Genetics (m / f / d)

KWS SAAT SEEinbeck, Niedersachsen, DE
Vor 30+ Tagen
Stellenbeschreibung

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 crop-specific 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.

Your tasks :

  • 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.
  • Participate in collaborative scientific projects with public institutions

    • Your Profile :

  • Ph.D. in agricultural sciences with a focus on plant breeding and quantitative genetics, biostatistics
  • Few years of postgraduate experience in a relevant field (e.g. quantitative genetics, biostatistics)
  • Experience with hybrid crops is a plus
  • Passion for data analysis and ability to work with large data sets, including proficiency in related 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)

    • Let's peek at how you can grow your well-being, health, and future 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.