Quantitative Genetics Data Scientist (m/f/d) for Trait Discovery

Quantitative Genetics Data Scientist (m/f/d) for Trait Discovery

Field of Work:  Breeding
Location: 

Einbeck, Lower Saxony, DE

Legal Entity:  KWS SAAT SE & Co. KGaA (0001)
Contract Type:  Regular
Is Full Time?:  Yes
Onsite/ Remote:  Onsite
Job ID:  14285

Join Our Team as a Quantitative Genetics Data Scientist (m/f/d) for Trait Discovery

Are you ready to delve into the exciting world of gene discovery and data analytics in maize and oilseed crops? The Breeding Technology Team at KWS is seeking a passionate and innovative research scientist to join us on a full-time, permanent basis at our headquarters in Einbeck, Lower Saxony, Germany.

 

At KWS, we are pioneers in agricultural innovation, committed to developing cutting-edge solutions in plant breeding. As a global leader, we cultivate a culture of collaboration and continuous improvement, empowering our teams to drive meaningful advancements in agriculture.

 

Your Responsibilities:

  • Drive Innovation: Lead the charge in gene discovery through data mining and genome-wide association studies (GWAS) for maize, sunflower, and oilseed rape.
  • Concept Development: Develop and prototype new statistical approaches for trait mapping in collaboration with cross-functional teams.
  • Implement Genotyping Data: Apply sequence-based genotyping data and haplotyping approaches in GWAS workstreams.
  • Collaborative Partnerships: Engage with native traits and molecular resources teams across qualitative and quantitative genetics domains.
  • Global Collaboration: Collaborate intensively with breeding and research teams worldwide, fostering exchange and knowledge-sharing.
  • Training and Support: Provide training and support to maize and oilseed crop breeding and research teams on statistical approaches.

 

Your Profile:

  • Hold a Ph.D. in plant or animal breeding, plant genetics, bioinformatics, or related fields.
  • Possess broad knowledge in qualitative and quantitative genetics, with a keen interest in exploring and developing innovative ideas.
  • Demonstrate proficiency in large-scale data analysis using R software and/or other programming languages like Python, Julia, etc.
  • Experience with mapping approaches, sequence data analysis, haplotype-based mapping, and AI algorithms is advantageous.
  • Excel as a collaborative team player with strong analytical, critical thinking, and communication skills.
  • Exhibit professional fluency in written and verbal English.
  • Ready to engage in travel for work-related activities.

 

This is what you can look forward to:

  • As a family business, we live the values of team spirit, closeness, trust, independence and vision.
  • We create the right framework conditions for you: attractive remuneration, company pension scheme, excellent work equipment, subsidized canteen, capital-forming benefits, Christmas and vacation pay and flexible hybrid working time models with weekly presence in the office!

 

Embark on an enriching journey with KWS, where you'll contribute to groundbreaking research and innovation in plant breeding. If you're passionate about leveraging data analytics to drive agricultural advancements, we invite you to apply and be part of our dynamic team!

 

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About KWS
KWS is one of the world’s leading plant breeding companies. Over 5,000 employees in more than 70 countries generated net sales of around €1.8 billion in the fiscal year 2022/2023. A company with a tradition of family ownership, KWS has operated independently for 165 years. It focuses on plant breeding and the production and sale of seed for corn, sugar beet, cereals, vegetables, oilseed rape and sunflower. KWS uses leading-edge plant breeding methods to continuously improve yield for farmers and plants’ resistance to diseases, pests, and abiotic stress. To that end, the company invested more than €300 million last fiscal year in research and development. For more information: www.kws.com/career. Follow us on LinkedIn® at https://linkedin.com/company/kwsgroup/.

Our data privacy policy for candidates is available on www.kws.com/dataprotection. Please select the country where the job you applied for is posted in and, if applicable, the specific business unit.


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