Bioinformatician/Computational Biologist (f/m/d)

To reinforce our team in Davos, Switzerland, we are seeking a

Bioinformatician/Computational Biologist (f/m/d) Job description
The Cardio-CARE research group at the Medizincampus Davos, Switzerland, is a program of the Kühne Foundation and is searching for a highly motivated Bioinformatician / Computational Biologist (f/m/d) to join our dynamic bioinformatics team. You will contribute to ambitious, collaborative projects focused primarily on cardiovascular disease research.
Our flagship initiative involves the analysis of 9000 whole genome sequences from the Hamburg City Health Study, conducted in close collaboration with the Department of Cardiology at the University Medical Center Hamburg-Eppendorf (UKE), Germany.
Your Key Responsibilities

Develop and maintain bioinformatic and statistical workflows
Perform data analysis, integration, and visualization
Design and implement novel bioinformatics methods
Provide training and support to team members
Contribute to the publication of research findings
Assist in administering our on-premises high-performance computing infrastructure

Why Join Us?

Be part of a collaborative, international research environment
Work on cutting-edge projects with real-world impact
Develop and apply computational methods using rich and diverse datasets
Contribute to scientific infrastructure with meaningful responsibilities
Benefit from excellent opportunities for personal and professional growth
Support with work permit and relocation processes for you and your family
Competitive salary with the possibility to work partially from home
Davos is more than a mountain resort. It is a hub of science, sports, and international exchange

Profile requirements
What you Bring

A background in bioinformatics, computational biology, computer science, statistics, or a related field
Experience with Linux/Unix environments and high-performance computing (HPC) clusters
Proficiency in R, Python, or similar programming languages
Practical knowledge of reproducible workflow systems (e.g., Nextflow, Snakemake) and version control tools
Experience analyzing large-scale biological datasets
Experience in applying statistical methods
Strong communication and collaboration skills, with a passion for interdisciplinary teamwork
Fluency in English; knowledge of German is an advantage

How to apply
We look forward to your application! Please send:

A short motivation letter outlining why you are the ideal candidate
Your detailed CV
Contact details of 2–3 referees

to Andreas.Ziegler@cardio-care.ch.

There is no fixed application deadline. Applications will be reviewed on a rolling basis until the position is filled.

Apply Now