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<a href="">European Galaxy Team</a> is hiring!

We have a wide variety of active projects and are searching for a software engineer (100%), system analysts/administrators (100%), data analyst (100%), and a community and/or research manager (100%).

Current areas of expertise include:

  • Distributed computing and systems programming. We are engaged in the development of workflow systems, cloud computing based solutions, and other projects involving high performance and data intensive computing.
  • Web-based visualization and visual analytics. We are building web interfaces for visual analysis of large data sets that leverage cutting edge web technologies.
  • Machine learning and cheminformatics. We want to make machine learning and cheminformatics more accessible and reproducible.
  • Linux containers technologies and software management with conda. We are heavily involved in <a href="">bioconda</a>, <a href="">confda-forge</a>and <a href="">biocontainers</a> to build the new scientific stack for reproducible research.
  • Train the next generation of data scientists. We aim to democratize bioinformatics infrastructure and knowledge. We are passionate about training and education across the world.

Regardless of your areas of expertise we seek talented, self-motivated individuals to join<a href="">our team</a>. <a href="">Galaxy</a>is developed in an academic research environment, and members of the European Galaxy team work closely with researchers on projects at the leading edge of data-intensive science. Galaxy is written in Python, but also makes substantial use of JavaScript, Canvas, and other modern Web technologies. Many of the analysis components of Galaxy are performance critical and are implemented in C and other languages as well. Galaxy makes extensive use of Conda packages and Containers and can utilize the  <a href="">de.NBI Cloud</a> as well as the <a href="">NEMO supercomputer</a> .


If you are interested to work with us,  This email address is being protected from spambots. You need JavaScript enabled to view it. (This email address is being protected from spambots. You need JavaScript enabled to view it.) and help us to make science more accessible, reproducible, and transparent.

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