drjobs Group Lead (m/f/d) for Quantitative Genetics and Biostatistics (15494)

Group Lead (m/f/d) for Quantitative Genetics and Biostatistics (15494)

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Job Location drjobs

Einbeck - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Group Lead (m/f/d) for Quantitative Genetics and Biostatistics

Field of Work:Research & Development; Breeding
Legal Entity: KWS SAAT SE & Co. KGaA (0001)
Contract Type: Regular
Is Full Time: Yes
Job ID: 15494
Number of Vacancies: 1

As Group Leader (m/f/d) for Quantitative Genetics and Biostatistics in the Breeding Technology Application Team for sugar beet and cereals you will play a key role in advancing our breeding strategies. Your main responsibility will be to translate KWS objectives into an effective strategy and structure for the Quantitative Genetics and Biostatistics group.

This full-time permanent position is to be filled by July 1 2025 in Einbeck (Lower Saxony Germany).

Your Responsibilities What You Can Expect:

  • Develop and implement innovative approaches in predictive breeding selection theory simulations and data analysis to support breeding decisions and processes
  • Lead and further develop an interdisciplinary team within a matrix organization ensuring close alignment with breeding programs while fostering deep expertise
  • Collaborate closely with breeders to optimize breeding schemes conduct pilot projects and implement tailored solutions
  • Drive the methodological advancement in quantitative genetics leveraging synergies across different crops
  • Actively contribute to strategic topics within the Breeding Technology Leadership Team

Your Profile What You Bring:

  • University degree (Master or PhD) in agricultural sciences data sciences or a related field with a focus on plant breeding and quantitative genetics
  • Several years of professional experience in a relevant field ideally in plant breeding quantitative genetics or applied data analysis in agricultural science
  • Solid experience in data management workflow design and documentation
  • Strong proficiency in R; other command-line languages (e.g. Python Bash) are a plus
  • Proven experience in leading teams or projects preferably in a scientific or technological environment
  • Strong leadership skills with the ability to motivate and develop team members and make clear decisions
  • Visionary mindset with the ambition to fully harness the potential of data-driven breeding and genomic prediction
  • Team-oriented excellent communication skills (English required; German or other languages are an advantage) and a collaborative leadership style

Start your future with us! What we offer to help you grow:

  • As a family-run company we are guided by the values of closeness reliability foresight and independence - this culture is lived inpractice creating thus an open and friendly workingatmosphere.
  • True to our motto Make yourself grow we support employees professional and personaldevelopment.
  • We offer excellent work equipment ( workstations several monitors air conditioning high-end technical equipment thenewest laboratory equipment) a fully-fledged subsidized canteen and sufficient free parking spaces at the KWSlocation.
  • We create the appropriate framework conditionsfor you:acompany pension schemecapital formationbenefits Christmas and holiday bonuses special prices for company shareschildcare allowance and a jobbike.

Did we spark your interestThen apply now via our online portal and send us the followingrequireddocuments(cover letter CV relevant certificates).We look forward to getting to know you!

About KWS

KWS is one of the worlds leading plant breeding companies. Nearly 5000 employees in more than 70 countries generated net sales of around 1.68 billion in the fiscal year 2023/2024. A company with a tradition of family ownership KWS has operated independently for almost 170 years. It focuses on plant breeding and the production and sale of seed for sugarbeet corn 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: Follow us on LinkedIn at data privacy policy for candidates is available on Please select the country where the job you applied for is posted in and if applicable the specific business unit.

Employment Type

Full Time

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