Are you looking to put your computational skills to the test?

Are you fascinated by cancer biology and using multi-omics data to devise new treatment avenues?

Then this project is for you! 

We are looking for a Bioinformatician (f/m/d) for the analysis of single cell transcriptomics and multi-modal tissue imaging with a focus on spatial genomics and proteomics tissue data. In this role, you will work in a leading center for pediatric oncology. The Taschner-Mandl Lab tackles unresolved questions of pathogenesis of cancer in children using experimental and computational approaches (e.g. Fetahu IS, Nat Comms, 2023). You will have the unique opportunity to focus on developing advanced computational tools and methods for analyzing multi-modal tissue imaging and spatial tissue omics data at single-cell resolution, ultimately contributing to a better understanding of cancer development and metastasis and the creation of innovative therapies to combat neuroblastoma, a severe pediatric cancer.

 

 

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 young and dynamic team funded by a highly prestigious EXCELLENCE program
• 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/)
• A fair and attractive salary package starting at € 3.393,55, gross (14x per year) on full-time basis 

 

What you bring for this position: 

• MSc degree (obtained or in final stages) in bioinformatics or related fields
• Background in molecular and cancer biology
• Experience in genomics, bioimage and/or spatial tissue analysis
• Solid understanding of statistics and mathematical principles
• Experience in machine learning and deep learning, ideally computer vision
• Skills in maintaining and creating code repositories (e.g., GitHub)
• Programming languages such as R and Python
• Proficiency in deep learning libraries such as PyTorch or TensorFlow
• Well-organized and self-motivated team player with proactive “getting things done’’ mentality

We are looking forward to your application! Applications should at least contain your Curriculum Vitae, a cover letter, a list of publications (please mark/explain your three top contributions), the contact details of three references, and a link to your GitHub profile (if available).

The application deadline is the 31.08.2025. Applications will be reviewed on a rolling basis until the position is filled.