Computational Biologist (m/f/d) - Genome Editing Trait Discovery (Bioinformatician)

At KWS, we drive the discovery and development of innovative plant traits to tackle the challenges of a more sustainable and productive agriculture. As a Computational Biologist (m/f/d) – Genome Editing Trait Discovery, you will play a central role in identifying and prioritizing candidate genes for genome editing applications. In doing so, you will combine biological expertise with modern data-driven and computer-aided methods.

As part of our Gene Nomination Team, you will operate at the interface of biology, plant breeding, bioinformatics, and Data Science. You will contribute to transforming complex multi-omics datasets into valuable insights and developing innovative approaches, including data mining and AI-supported methods, for the identification of candidate genes.

This is a full-time, permanent position based at the headquarters of KWS SAAT SE & Co. KGaA in Einbeck, Germany.

Your Tasks

• You will contribute your biological expertise to the development, validation, and implementation of AI-supported approaches for identifying candidate genes.
• You will analyze, integrate, and interpret complex multi-omics datasets to support the search for candidate genes for trait development.
• You will support research projects and stakeholders from Trait Discovery, Breeding Technology Applications, and other R&D areas with your expertise in Computational Biology.
• You will act as a scientific interface between biology, breeding, bioinformatics, and Data Science, translating biological questions into data-based solution approaches.
• You will evaluate innovative technologies and modern computer-aided methods to further increase the speed, scalability, and impact of Trait Discovery.
• There is the possibility to develop and lead your own scientific projects in the areas of candidate gene ranking, knowledge discovery platforms, and Data Mining.
• You will work closely with Data Science teams to translate new approaches into scalable, user-friendly workflows and platforms.

Bring Your Potential

• PhD in Computational Biology, Bioinformatics, Plant Sciences, Data Science, or a comparable field.
• Several years of experience in the analysis and interpretation of extensive biological datasets, for example from genomics, transcriptomics, proteomics, or other omics areas.
• Proven expertise in the application of data mining, machine learning, and/or AI-supported methods for the identification and prioritization of candidate genes.
• Good understanding of plant biology, plant breeding, genetics, genome editing, or processes of trait development.
• Experience in leading scientific projects is an advantage.
• Proficient use of programming languages and tools for scientific data analysis, such as Python, R, or workflow management systems.
• Entrepreneurial thinking, passion for innovation, and the ability to translate scientific challenges into creative solutions.
• Strong ability to collaborate and exert influence in interdisciplinary teams within a matrix organization.
• Excellent communication and stakeholder management skills.
• Very good written and spoken English skills; German skills are an advantage.

Our Offer

• As a family-run company, we live by the values of closeness, reliability, foresight, and independence - a culture that is lived in practice, e.g., through an open and friendly working atmosphere.
• Following the motto: "Make yourself grow!", we promote individual professional and personal development.
• We create the right environment for you: capital-forming benefits, company pension scheme, Christmas and holiday bonuses, childcare allowance, company bicycle.

Shape your career with KWS and grow with us! We look forward to receiving your digital application via our job portal.

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