Are you interested in working in an ambitious team that combines genomics and tumor evolution to better understand pediatric cancers?

Do you have a passion for understanding why some cancers resist treatment?

Here is your chance to contribute to science that makes a difference!

The Cresswell Group is recruiting a PhD student (f/m/d) interested in bioinformatics, cancer genomics and tumor evolution to strengthen its young and innovative research team. In this responsible role, you will have the unique opportunity to be part of a multidisciplinary competence center for pediatric cancer research and to have a direct influence on understanding how cancers develop resistance to therapy.

The Cresswell Group is focused on the mutational processes and evolution of pediatric cancers. The aim of this research group is to get a better understanding of cancer and to predict which children are most at risk of a poor response to treatment. Inspired by Darwinian principles of variation and selection, the Cresswell group combines computational analysis, evolutionary experiments and genomics, to gain a deep insight into how cancers adapt.

Research projects in the Cresswell group are supported by the Austrian Science Fund (FWF). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/

 

Does this sound interesting? This is our offer to you:

• A challenging role in a meaningful, inspiring, and international environment
• An outstanding working atmosphere in a young and dynamic team
• Access to state-of-the-art infrastructure
• Flexible working hours, discounted lunch and other great benefits
• Great location in the center of Vienna, a capital of biomedical research in Europe with excellent quality of life
• An attractive salary package according to the Austrian Science Fund FWF (https://www.fwf.ac.at/en/research-funding/personnel-costs/)

 

What you bring for this position:

• Master’s degree in a relevant subject (e.g. bioinformatics, computer science, genetics, evolutionary biology or precision medicine)
• Strong coding skills (e.g. R, python, bash) and a solid understanding of statistics
• Good understanding of molecular biology/genetics, ideally in the field of cancer research
• The following are considered a plus:
  • Experience with next generation sequencing data analysis or other genome-wide assays
  • Experience with machine learning methods in bioinformatics
• Enthusiasm, determination, creativity and scientific curiosity
• Motivation to pursue an ambitious research agenda and to make it your own
• Team player with strong communication skills and a proactive “getting things done’’ mentality
• Excellent verbal and written skills in English are required (German is not required)

We are looking forward to your application!

The application should contain:

1. Curriculum Vitae
2. Motivation Letter (max. 1 page including answers to the questions: What makes this position attractive to you? What relevant papers interest you the most? What qualifications/experiences make you a good fit? Please provide examples where you demonstrated your skills)
3. Contact details of 2-3 references

The application deadline is the 13.10.2025. Applications will be reviewed on a rolling basis until the position is filled.