Scientist for Environmental Data and Modelling Systems | Scientist (f/m/x) for Environmental Data and Modelling Systems

Helmholtz-Zentrum für Umweltforschung GmbH - UFZ

Leipzig, Sachsen, Deutschland
Published Apr 1, 2026
Full-time
Fixed-term

Job Summary

This role is part of the newly established BirdTwin working group at the Helmholtz Centre for Environmental Research (UFZ), where you will develop the technical backbone for an ecological digital twin focused on European bird diversity. Day-to-day, you will design and implement scalable data architectures and automated pipelines that integrate heterogeneous monitoring, environmental, and remote sensing data. You will be responsible for operationalizing scientific processes, translating complex ecological requirements into robust, maintainable technical solutions using technologies like Docker, Kubernetes, and cloud/HPC infrastructures. The position is highly interdisciplinary, requiring close collaboration with ecologists and data scientists to build reproducible modelling workflows. This is a unique opportunity to work at the cutting edge of biodiversity conservation, turning scientific concepts into a production-ready infrastructure that enables scenario analyses for environmental management. You will join an international research network that offers flexible working conditions and excellent research infrastructure.

Required Skills

Education

Completed university degree (Master's, Diploma, or Doctorate) with a focus on Environmental Informatics, Computational/Data Science, Ecological Modelling, Information Technology, Applied Mathematics, Bio/Geoinformatics, or a related natural science field with a computational focus.

Experience

  • Professional experience in designing and advancing data and modelling infrastructures
  • Several years of experience with R, Python, Vue.js, PostgreSQL, and GraphQL
  • Proven experience with FAIR data principles
  • Experience in building and maintaining scalable data architectures and automated pipelines
  • Experience with containerization (Docker, Kubernetes) and cloud/HPC environments
  • Experience working with agile methods and product management collaboration
  • Professional experience in integrating research data infrastructures and visualization solutions

Languages

Not specified

Additional

  • The contract is for a fixed term (befristet). The role requires the ability to work in an interdisciplinary team and translate technical concepts for non-technical audiences.