Intern (mfd) Computational structural biology and modelling

Field of Work:Research & Development
Legal Entity:KWS SAAT SE & Co. KGaA
Contract Type: Temporary
Is Full Time: Yes
Job ID: 16950
Number of Vacancies: 1

Looking to gain valuable hands-on experience at KWS

At KWS we are advancing data- and knowledge-driven approaches to develop innovative traits for sustainable agriculture. Within our Trait Discovery activities computational structural biology and advanced protein modelling are important elements to support the nomination and prioritization of trait candidate genes.

Together with colleagues from Trait Discovery and Data Science you will benchmark computational methods curate relevant datasets and translate model outputs into testable hypotheses for experimental validation.

This full-time internship is offered as a fixed-term position for six months and is based at the KWS SAAT SE & Co. KGaA headquarters in Einbeck Germany.

Were excited to fill it as soon as possible!

Your Key Responsibilities :

• Benchmark validate and update computational protein modeling platforms using internal and publicly available datasets.
• Run computational workflows on high-performance computing infrastructure and analyze model performance accuracy and robustness.
• Document workflows code datasets and results in a reproducible manner for example in a GitLab repository.
• Present progress and findings in internal project meetings and collaborate closely with experimental and computational scientists.

Bring Your Expertise :

• Qualification in Bioinformatics Structural Biology Computer Science or a related discipline with experience in machine learning and an interest in foundation models and AI for life sciences
• Technical know-how and hands-on experience in implementation of computational tools in high-performance clusters (e.g. nextflow or snakemake)
• Familiarity with high-performance computing environments and technologies such as SLURM containers PyTorch or Hugging Face is advantageous.
• Experience in applying protein structure-prediction tools like AlphaFold is a plus
• A structured and reliable working style with a strong focus on documentation data quality and reproducibility.
• An open proactive and collaborative mindset combined with the ability to communicate scientific findings effectively.
• Good written and spoken English; German language skills are beneficial.

Apply Now!

We look forward to receiving your complete application including a motivation letter CV transcript of records proof of mandatory internship requirement and any other relevant certificates.

Please indicate your earliest possible start date in either your motivation letter or CV.

You can find additional internship opportunities in our Job Portal. For general information about internships and thesis collaborations please visit our FAQ page.

About KWS

KWS is one of the worlds leading plant breeding companies and employs around 5000 employees in more than 70 countries. With the tradition of family ownership KWS has operated independently for more than 170 years. It focuses on plant breeding and the production and sale of seeds for sugarbeet corn cereals vegetables oilseed rape and sunflowers. KWS uses leading-edge plant breeding methods and invests a significant amount in research and development.

At KWS diversity is not just a value; it is an essential part of our success. Breeding resilient crops requires diversity; likewise our strength comes from the diversity of our teams. Whatever your background or identity is we invite you to join us.

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