Intern (m/f/d) Computational structural biology and modelling

KWS Group; Einbeck; Hybride; EUR 17 000 - 20 000; Plein temps

Résumé du poste

KWS SAAT SE & Co. KGaA, Einbeck, Germany, invites applications for a six‑month full‑time internship in computational structural biology and modelling.

The role sits at the intersection of Trait Discovery, data science, and experimental validation, offering hands-on experience with cutting‑edge AI approaches for plant science. You will benchmark computational methods, curate datasets, and translate model outputs into testable hypotheses for experimental verification, under guidance from a

Qualifications

• Qualification in Bioinformatics, Structural Biology, Computer Science, or a related discipline.
• Experience in machine learning and an interest in foundation models and AI for life sciences.
• Strong documentation and reproducibility mindset.
• Good written and spoken English; German language skills are beneficial.

Responsabilités

• Benchmark computational protein modeling platforms using internal and public datasets.
• Run workflows on high-performance computing infrastructure and assess performance and robustness.
• Document workflows, code, data, and results in a reproducible way (e.g., GitLab).
• Present progress and findings in internal meetings and collaborate with experimental and computational scientists.
• Contribute to the Nomination and prioritization of trait candidate genes within Trait Discovery.

Connaissances

Bioinformatics

Structural Biology

Computer Science

Machine Learning

AI for Life Sciences

Formation

Bachelor's degree or equivalent

Outils

Nextflow

Snakemake

SLURM

PyTorch

HuggingFace

Description du poste

Career Opportunities: Intern (m/f/d) Computational structural biology and modelling (16950)

Requisition ID16950-Posted10/28/2026-Einbeck- Fields of Work (1) -Intern/Working Student-Up to 10%-Hybrid Working Within Country

Intern (m/f/d) 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.

We're 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.
• 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 effective.
• Good written and spoken English; German language skills are beneficial.

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.

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 world’s leading plant breeding companies and employs around 5,000 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.

Our data privacy policy for candidates is available on www.kws.com/dataprotection . Please select the country where the job you applied for is posted in and, if applicable, the specific business unit.