Systems Biology Scientist: AI-Driven Plant Trait Modeling

Rijk Zwaan; Fijnaart; Vor Ort; EUR 65.000 - 100.000; Vollzeit

Benefits dieser Stelle

Permanent contract (30h+)

Salary based on experience

25 vacation days

Rijk Zwaan Academy

Intro lunch with management

Fresh soup and fruit

Rondjes Rijk Zwaan

Development discussions

Rijk Zwaan Fit

BBQ and photo workshops

Zusammenfassung

Rijk Zwaan in Fijnaart is seeking a Systems Biology Scientist to develop and apply systems-level models that reveal molecular networks underlying complex traits in crops. You will integrate multi-omics data and work at the interface of genomics, transcriptomics, proteomics and AI-driven modeling to generate actionable insights for research and breeding.

You will collaborate with experts in computational biology, bioinformatics and plant biology, contribute to data-driven studies, and participate

Qualifikationen

• PhD required in Systems Biology, Computational Biology or Bioinformatics.
• Experience with experimental design and molecular-network modeling in plants.
• Experience with multi-omics data integration and AI/ML in genomics is a plus.

Aufgaben

• Develop gene regulatory and molecular network models for crops.
• Integrate multi-omics data to model multigene traits.
• Apply AI-based approaches to identify key regulators.
• Translate results into hypotheses for breeding programs.
• Collaborate with cross-functional teams and external partners.

Kenntnisse

Programming (Python/R)

Data analysis

Interdisciplinary collaboration

Ausbildung

PhD in Systems Biology, Computational Biology or Bioinformatics

Jobbeschreibung

Rijk Zwaan in Fijnaart is seeking a Systems Biology Scientist to develop and apply systems-level models that reveal molecular networks underlying complex traits in crops. You will integrate multi-omics data and work at the interface of genomics, transcriptomics, proteomics and AI-driven modeling to generate actionable insights for research and breeding.

You will collaborate with experts in computational biology, bioinformatics and plant biology, contribute to data-driven studies, and participate