Location: Ridabu, Norway

Position: Full-time (4-year contract with the possibility of a permanent position)

Application deadline: 30th January 2026

Do you want to help develop new Norwegian plant varieties for a changing climate -- strengthening future food production and national self-sufficiency? Are you motivated by turning data into real-world impact and being part of a new breeding era powered by speed breeding, genomics, phenomics, and digital innovation?

Graminor AS is Norway’s leading plant breeding company, developing improved cereal, potato, forage, and fruit and berry varieties adapted to Norwegian and Nordic conditions. Through close collaboration with research institutions, growers, and industry partners, we contribute to sustainable food production, climate resilience, and future-ready agriculture.

As Graminor enters a new era of plant breeding, we are launching and scaling the implementation of speed breeding to accelerate genetic gain and shorten breeding cycles. To support this transition, we are expanding our team to strengthen our digital, genomic, and data-driven breeding capabilities. We are now seeking a skilled and motivated biostatistician to join our multidisciplinary research and breeding team.

Responsibilities
In this role, you will play a key part in enabling data-driven plant breeding at Graminor. Your responsibilities include:
• Developing genomic and/or phenomic selection models to improve selection accuracy.
• Handling complex datasets to strengthen Graminor’s in-house analytical and data management capabilities.
• Building and maintaining reproducible, automated analysis pipelines and workflows.
• Facilitating the integration of new technologies, including AI, machine learning, and multi-environment modelling, into breeding programs.

Qualifications
Education
• MSc or PhD on biostatistics, computational biology, quantitative genetics, bioinformatics, or a closely related field.

Skills and experience
• Background in statistical analysis, data quality control, and genomics; exposure to machine learning is an advantage.
• Strong programming/scripting skills (e.g., Python, R).
• User skills with Linux/Unix environments and command-line workflows.
• Experience with big-data such as; next-generation sequencing (NGS) data and multispectral, imaging data.
• Familiarity with bioinformatics pipelines and workflow management systems.

Personal skills:
• High communication skills
• Team player
• Proactive

Prefferred/advantageous
• Familiarity with plant breeding or applied genetics.
• Norwegian language skills (spoken and written) are an advantage.

What we offer
• A meaningful role in advancing sustainable Norwegian agriculture.
• A collaborative, supportive workplace with strong scientific and technical expertise.
• Opportunities for professional development within genomics, data science, and applied breeding.
• Competitive salary and benefits.

How to apply
Please send your application by 30th January 2026, including a CV and cover letter, to graminor@graminor.no, or via “søk på stilling” on www.graminor.no or to: Graminor AS, Hommelstadvegen 60, 2322 Ridabu, Norway.

For questions about the position, contact:

Muath Alsheikh, tlf: (+47) 976 99 135

Susanne Windju, tlf: (+47) 932 21 473