Bioinformatician/Computational Biologist 100%

  • Universität Bern
  • Bern, Bern, Switzerland
  • 30/07/2021
Full time Data Science Data Analytics Big Data Data Management Statistics Biostatistics

Job Description

The Interfaculty Bioinformatics Unit of the University of Bern is a competence center for "Bioinformatics and Computational Biology" and provides – besides own research projects - expertise to help researchers with the planning, implementation and analysis of next generation sequencing (NGS) experiments. We collaborate on a wide range of projects in the life sciences and biomedical sciences. We run a High Performance Compute cluster used by researchers of UniBe and UniFr and also direct the "MSc in Bioinformatics and Computational Biology".
We are in search of a Bioinformatician/Computational Biologist 100%.

TasksYour responsibilities will include

  • Primary processing of data from NGS experiments, for example: RNA-seq, whole

genome or whole exome resequencing, metagenomics, de novo assembly

  • Improvement and implementation of existing and new analytical pipelines (RNA-seq,

scRNA-seq, metagenomics, etc.)

  • Collaborate with researchers on all data analysis steps, in particular complexity

reduction (e.g. GSEA), various statistical analyses and data visualisation

  • Consult researchers with the planning of NGS experiments
  • Teaching practical courses in bioinformatics/biostatistics


Ideally, you have a PhD in biology, bioinformatics or biostatistics and

  • proven experience with NGS data analysis
  • proven experience in developing analytical pipelines (e.g. using snakemake)
  • proficiency in one or more programming languages (e.g. C++, Python, R, Java)
  • a strong interest in working on different projects in a collaborative role
  • experience in biostatistics and/or machine learning
  • very good organisational skills; demonstrated ability to handle multiple projects in


  • a demonstrated ability to collaborate with researchers from various fields

We offer

  • A 2 year position as a staff scientist, with the possibility for extension
  • A supportive working environment and excellent computational resources
  • Very varied work and the opportunity to learn new technical skills
  • Starting date upon agreement

The working language of our group is English. Knowledge of German is useful but not required.

Please send your application including CV, motivation letter, qualifications and references in one PDF-File to: Jolanda Paganoni Zurbrügg (
For more information, please contact Rémy Bruggmann ( or visit