ETH Zurich (Swiss Federal Institute of Technology) is one of the leading technical universities world-wide. ETH is renowned for excellent teaching, pioneering basic research, and direct transfer of knowledge into practical application. To support teaching and research, the IT Services (ITS) of ETH Zurich are working as a service organization in a large and complex IT environment. Scientific IT Services (SIS, a section of ITS) aims at bridging the gap between computational research and IT service and infrastructure provisioning. SIS is working closely together with ETH researchers to provide support in the wide area of scientific computing from data management and analysis, development of scientific software to the operation of high-performance and cloud computing infrastructures, see For a collaboration with the Genomic Facility Basel (GFB), SIS is currently seeking to appoint a
Scientific Software Application Specialist Bioinformatics
to provide the scientific IT support for the GFB (see The main responsibilities of this position include the maintenance and further development of the data processing and management solutions (based on the openBIS software platform) implemented around the next-generation sequencing (NGS) technologies in place at the GFB (Illumina and Pacific Biosciences). It furthermore entails performing the day-to-day NGS data management for GFB and providing user support (e.g. conversion, post-processing, quality control, publication, etc.). The Scientific Software Application Specialist interacts closely with the members of the GFB as well as its customers and provides consulting and training for their daily NGS data workflows as well as engages in continual service improvements. In this role, he or she actively coordinates between the GFB and other members of SIS, as e.g. software engineers or HPC specialists.
The successful candidate will hold a University degree in computer science, bioinformatics, or closely related discipline with a strong background in research data management and the development and operation of complex computational workflows as well as a solid knowledge of NGS technologies and the administration of relational databases. Demonstrated skills in several programming and scripting languages (e.g., Java, Python, web programming, Bash) and working in the Unix/Linux environment are a must. Experience in the usage of data management solutions, workflow managers (e.g. Big data script, SnakeMake, Nextflow, etc.) and high-performance or cloud computing is a plus.
In addition to honed analytical abilities and a general interest in new technologies, this position demands excellent communication and didactic skills as well as the interest in, curiosity and ability to effectively collaborate with domain scientists, IT specialists, and lab technicians alike working on a wide range of topics to successfully enable effective scientific collaboration and services within and beyond the GFB and ETH Zurich.

The position is located in Basel, though occasional travel to Zurich will be required.
We look forward to receiving your online application including a comprehensive CV, cover letter, diplomas, work certificates, and contact information of at least two references. Please address your application to Mrs. Yvonne Zilio, Human Resources. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information, please contact Thomas Wüst, Group Head Research Informatics, email twuest[at], phone +41 44 633 8416, or Christian Beisel, Head Genomics Facility Basel, email christian.beisel[at], phone +41 61 387 3111 (no applications).