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

KWS Group; Einbeck; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading agricultural company is seeking a Scientist in Quantitative Genetics for Trait Discovery in Einbeck, Germany. This full-time position involves collaboration with global research teams, focusing on trait discovery, managing datasets, and applying innovative methods in plant breeding. The ideal candidate holds a Ph.D. and has experience in data management, programming in Python, and working in multidisciplinary environments. Competitive benefits and a dynamic work culture are offered.

Leistungen

Capital formation benefits

Company pension plans

Christmas and holiday bonuses

Childcare allowance

Company bike

Qualifikationen

• Ph.D. focusing on plant breeding and quantitative genetics.
• Few years of postgraduate experience in a relevant field.
• Strong capabilities in data management and pipelining.

Aufgaben

• Conduct quantitative genetic analyses and prioritize genomic regions.
• Develop data analysis pipelines with genomics teams.
• Prototype computational methods for genomic interpretation.

Kenntnisse

Data management

Data analysis

Python programming

Project management

Communication skills

Ausbildung

Ph.D. in agricultural sciences or data science

Jobbeschreibung

Overview

Help shape the future of plant breeding – through trait discovery in sugar beets, cereals, and protein crops!

We are hiring an Scientist (m/f/d) in Quantitative Genetics for Trait Discovery to join our Breeding Technology Application team at KWS SAAT SE & Co. KGaA in Einbeck, Germany. This is a full-time, permanent position involving collaboration with global breeding and research teams.

Your responsibilities

• Advance trait discovery and integration in KWS breeding programs.
• Apply cutting-edge methods for identifying, fine mapping, and validating traits.
• Incorporate heterogeneous datasets (e.g., omics) into trait discovery.
• Utilize secondary and tertiary gene pools for new traits.
• Manage and steward data to support an AI-enabled research infrastructure.

Your tasks

• Conduct quantitative genetic analyses, integrate multi-omics data, perform association mapping, and prioritize genomic regions and germplasm for fine mapping and candidate gene identification.
• Develop, optimize, and automate data analysis pipelines in collaboration with genomics and digital product teams.
• Prototype innovative computational methods to enhance genomic interpretation, support experimental design, and streamline molecular breeding workflows.
• Stay current with emerging literature and contribute to collaborative research with public institutions.

Your profile

• Ph.D. in agricultural sciences or data science with a focus on plant breeding and quantitative genetics or equivalent
• Few years of postgraduate experience in a relevant field (e.g. marker-trait association)
• Strong capabilities in data management, pipelining and documentation
• Passion for data analysis and ability to work with large data sets
• High proficiency in Python programming; experience with VIBE coding is a plus
• 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 professional growth at KWS

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 plans, 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.