Position: System Administrator / Cloud Specialist
Department: Computational Genomics and System Genetics
Code number: 2020-0168
The German Cancer Research Center is the largest biomedical research institution in Germany. With approximately 3,000 employees, we operate an extensive scientific program in the field of cancer research.
A position as system administrator / cloud specialist for the recently funded infrastructure initiative German Human Genome Phenome Archive (GHGA, http://www.ghga.de) is available at the German Cancer Research Center (DKFZ).
Briefly, GHGA has been funded as one of currently 9 national infrastructure consortia which will be operated within the framework of the national research data infrastructure (NFDI, https://www.nfdi.de/). The goal of GHGA is to establish a national infrastructure for the archival, analysis and the dissemination of human omics data. GHGA is implemented as a federated infrastructure, which currently connects six data centers across Germany to the federated network of the European Genome Phenome Archive (EGA, https://www.ebi.ac.uk/ega). To enable long-term scalability and respect national data security regulations, the EGA is undergoing a transition to a federated model, with GHGA operating as an EGA node for Germany. GHGA has an ambitious long-term concept with an initial focus on providing technological infrastructure and services for rare disease genetics and oncology. With its 16 partners the GHGA network spans all major omics centers in Germany. At DKFZ, GHGA brings together research and service activities across key teams that develop and apply genomics technologies:
- Ivo Buchhalter (http://www.dkfz.de/en/forschung/zentrale_einrichtungen/cf-omics): data stewardship & first-level user support, Data hub implementation & operation
- Benedikt Brors: (http://www.dkfz.de/en/applied-bioinformatics): Training & user experience, Community data curation
- Stefan Fröhling (http://www.dkfz.de/en/translationale-medizinische-onkologie): Translation & cancer community
- Daniel Hübschmann (http://www.hi-stem.de/staff/74-daniel-huebschmann): Front end development & maintenance
- Martin Lablans (http://www.dkfz.de/en/verbis): FAIR Data & Interoperability
- Peter Lichter (http://www.dkfz.de/en/genetics): Translation & cancer community
- Oliver Stegle (http://www.dkfz.de/en/bioinformatik-genomik-systemgenetik): GHGA consortium spokesperson & back end development
We are looking for a computer scientist, informatician, physicist, bioinformatician, computational biologist or professional with similar background to develop, construct and administrate the infrastructure for GHGA software (front and back end) and software development (devops) in a local cloud. The successful candidate will be part of an interdisciplinary research and data management team implementing, developing and maintaining a diverse range of state-of-the-art tools and infrastructure to manage human omics data. This will be done in close cooperation with the participating GHGA institutions and other (inter)national partners. We are looking for a range of profiles, including system and cloud specialists.
Your responsibilities (will be distributed in a small team):
- Installing and maintaining cloud services
- Supporting software developers and users to deploy software and analyse data in a cloud
- Creating easily deployable virtual infrastructures that can be shared with other host institutions
- Implementing system security measures and performing penetration testing
The successful applicant will hold a master's degree or equivalent qualification in computer science, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational biology/bioinformatics/software development/system administration/cloud computing.
Previous experience in working with clouds and systems administration is expected. Expertise in OpenStack, Kubernetes and system security is beneficial, as is communicating results and ideas to colleagues and (inter)national collaboration partners.
Proficiency with UNIX based systems and relevant programming languages such as Python is a must.
The ideal applicant should have demonstrated the ability to work independently and creatively. The candidate should have excellent communications skills and be able to articulate clearly the technical needs, set clear goals and work within an interdisciplinary setting, communicating with other partners.
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
Earliest Possible Start Date: 01.10.2020
Duration: The position is limited to 2 years with the possibility of prolongation.
The position can in principle be part-time.
Application Deadline: 18.08.2020
Eva Sabine Blum
Phone +49 6221/42-3601
Please note that we do not accept applications submitted via email.