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Technical University of Munich

Technical University of Munich

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Software Developer / System Architect for the Munich Omics Data Center

08.07.2020, Wissenschaftliches Personal

We are looking for a software developer or system architect to implement, operate, and further develop an Openstack platform together with the LRZ and GHGA to run Next Generation Sequencing (NGS) workflows and analyse omics data in a high-throughput environment. The successful candidate will not only be part of the local bioinformatics research and cloud management team but also be part of the nationwide GHGA consortium. Together with the different teams, the candidate will develop and apply a diverse range of state-of-the-art methodology to improve the Openstack infrastructure and the NGS workflows. This includes a range of diverse tasks like cloud and system administration, authentication and data security, workflow development and (web) software development.

We are

The computational molecular medicine lab is a lively, international, and interdisciplinary computational biology group with a research focus on the genetic basis of gene regulation and its implication in diseases. We are located in the informatics department of the Technical University of Munich, one of the top-ranked European universities. Our lab has strong links to other local scientists and institutions in biology and medicine but also close connections to the Leibniz Rechenzentrum (LRZ), one of the top 20 supercomputers in the world. Our team is part of the newly established German Human Genome Archive (GHGA) consortium, a national secure and trustworthy network of data centres for archiving, processing and serving human genome sequencing and other omics data for biomedical research.

Your responsibility (distributed within a small team)

  • (Openstack) infrastructure development
  • System/Image (Linux) administration
  • Maintaining and improving data and system security within the infrastructure
  • NGS workflow development
  • Collaborating with the GHGA consortium
  • Developing, adapting and deploying GHGA software


  • Master degree in computer science, bioinformatics, statistics, physics, or equivalent. Alternatively, a bachelor degree with relevant working experience of 3 years.
  • Experience in developing and deploying complex software systems
  • Proficiency in administrating UNIX based systems
  • Proficiency in at least one programming language (Python, Java, Go, R, …)
  • Excellent communication skills in English (communication with consortia members)
  • Ability to meet deadlines and manage priorities to handle a diverse workload

Desirable but not required

  • Experience in cloud compute infrastructure (OpenStack)
  • Hands-on knowledge about NGS pipelines (NextFlow, snakemake, WDL, ...)
  • Knowledge of data standards and data security measurements
  • Communication skills in German (communication with local partners)

We offer

  • Interesting and versatile workplace
  • International, attractive, and interdisciplinary working environment
  • Salary according to TV-L including social benefits
  • Flexible working hours
  • Possibilities for personal development
  • Disabled applicants with equal suitability and qualification will be given particular consideration
  • The TUM is striving to increase the proportion of women and hence applications from women are therefore expressly welcomed


The full-time position is initially funded for 2 years with the possibility for extension to up to 5 years with a salary according to the TV-L (German academic salary scale). The position can start as early as 1st September 2020.

Applications should include a cover letter, CV, and references and must be sent to jobs-gagneurlab@in.tum.de until 2nd August 2020 referring to “GHGA-Developer” in the email title.

More Information


Prof. Dr. Julien Gagneur
Computational Molecular Medicine
Technische Universität München
Boltzmannstraße 3
85748 Garching bei München Germany

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: jobs-gagneurlab@in.tum.de