To reinforce our team in Bern, Switzerland, we are seeking a Bioinformatician/Computational Biologist.
Bioinformatician/Computational Biologist (100%)

Employer

University of Berne


Work Location

Bern, Switzerland


Employment fraction

100%


Type of contract

temporary

Job tasks
Your responsibilities will include
  • Primary processing of data from NGS experiments, mainly metagenomics/transcriptomics, but also RNA-seq, whole genome sequencing, de novo assembly
  • Implementation and improvement metagenomics pipelines to production grade
  • 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

We offer
  • A 3-year position, with the possibility for extension
  • A collaborative working environment and excellent computational resources
  • Very varied work and the opportunity to learn new technical skills
  • Starting date upon agreement

Profile requirements
Ideally, you have a PhD degree in bioinformatics or related fields and
  • proven experience with NGS data analysis
  • proven experience in developing analytical pipelines (e.g. using snakemake, nextflow)
  • proficiency in one or more programming languages (e.g. Python, C++, R, Java) a strong interest in working on different projects in a collaborative role
  • experience in biostatistics
  • very good organisational skills; demonstrated ability to handle multiple projects in parallel
The working language of our group is English. Knowledge of German is useful but not required.


How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV, motivation letter, qualifications and references in one PDF-File until November 30th to: Jolanda Paganoni Zurbrügg (jolanda.paganoni@bioinformatics.unibe.ch).

For more information, please contact Rémy Bruggmann (remy.bruggmann@bioinformatics.unibe.ch) or visit www.bioinformatics.unibe.ch and http://www.onehealth.unibe.ch/.