To reinforce our team in Bern, Switzerland, we are seeking a
Bioinformatician

Employer

University of Berne


Work Location

Bern, Switzerland


Employment fraction

100%


Type of contract

temporary

Job tasks

The Interfaculty Bioinformatics Unit of the University of Bern and the Division of Nephrology and Hypertension of the Bern University Hospital are looking for a Bioinformatician (100%) to complete our team.

The aim of this interfaculty project is to decipher the genetic basis of kidney stones, a very common and global healthcare problem. 

 

Your responsibilities will include

• Primary processing of data from NGS experiments, for example RNA-seq, whole genome or whole exome resequencing, metagenomics, de novo assembly 

• Analysis of whole exome sequencing data of a large cohort of kidney stone formers and non-stone forming controls (>1000 samples), and integration with corresponding phenotypic metadata

• Collaborate with researchers and clinicians 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


Profile requirements

Ideally, you have a PhD in biology, bioinformatics or biostatistics andproven experience with NGS data analysis and

• proficiency in one or more programming languages and databases (e.g. C++, Python, R, Java, mysql, postgres) 

• experience in GWAS and WES

• a strong interest in working on different projects in a collaborative role

• experience in biostatistics and/or machine learning

• very good organisational skills, in particular a demonstrated ability to handle multiple projects in parallel 

• a demonstrated ability to collaborate with researchers from various fields

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

We offer

• A 2 year position postdoc position/staff scientist, with the possibility for extension

• A supportive working environment and excellent computational resources

• Very varied work and the opportunity to learn new methods and technical skills

• Starting date is 1. April or upon agreement


How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation to:

Jolanda Paganoni  

Baltzerstrasse 6 

Bern, BE 3012

Switzerland

 

Email: jolanda.paganoni@bioinformatics.unibe.ch