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

KWS Group; Einbeck; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading company in agricultural technology seeks a Group Leader for Quantitative Genetics and Biostatistics. This pivotal position focuses on advancing breeding strategies for sugar beet and cereals, requiring strong leadership skills and a solid background in agricultural sciences and data analysis. Join a supportive environment that encourages professional growth and innovation.

Leistungen

Company pension scheme

Capital formation benefits

Christmas and holiday bonuses

Childcare allowance

Job bike

Excellent work equipment

Subsidized canteen

Qualifikationen

• University degree in agricultural sciences or data sciences required.
• Several years of experience in plant breeding or quantitative genetics preferred.
• Solid experience in data management and workflow design.

Aufgaben

• Develop and implement innovative approaches in predictive breeding and data analysis.
• Lead and develop an interdisciplinary team in quantitative genetics.
• Collaborate with breeders to optimize breeding schemes.

Kenntnisse

Data management

Leadership

Communication

Collaboration

Problem solving

Ausbildung

Master or PhD in agricultural sciences, data sciences or related field

Tools

R

Python

Bash

Jobbeschreibung

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 in practice creating thus an open and friendly working atmosphere.
• True to our motto Make yourself grow, we support employees’ professional and personal development.
• We offer excellent work equipment (e.g. ergonomic workstations, several monitors, air conditioning, high-end technical equipment, the newest laboratory equipment), a fully-fledged, subsidized canteen and sufficient free parking spaces at the KWS location.
• We create the appropriate framework conditions for you: a company pension scheme, capital formation benefits, Christmas and holiday bonuses, special prices for company shares, childcare allowance and a job bike.

Did we spark your interest? Then apply now via our online portal and send us the following required documents (cover letter, CV, relevant certificates). We look forward to getting to know you!