The Wyss Zurich Translational Center (Wyss Zurich) is a joint accelerator of the ETH Zurich and the University of Zurich, which was made possible by a generous donation from the Swiss entrepreneur and philanthropist Dr. hc. mult. Hansjörg Wyss. Wyss Zurich brings together some of the world's leading experts to form multidisciplinary teams, pooling their knowledge and expertise and the Recolony project is at the forefront of immune research in cancer.

Your Responsibilities

• Conduct literature reviews and analyze quantitative research data.
• Curate, wrangle and integrate biological and clinical datasets.
• Work with OMICS data from NGS, metabolomics, proteomics to extract meaningful insights.
• Implement, test and optimize methods such as Variational Autoencoders (VAE).
• Perform advanced neural network and statistical analyses using PyTorch, Python and R.
• Generate a scientific report and documentation based on your research findings.
• Collaborate with an interdisciplinary research team and participate in ongoing research.
  
  

Your profile

• Currently enrolled in a Bachelor's or Master's program in Bioinformatics, Computational Biology, Data Science, Biostatistics, or a related field.
• Strong background in biological or clinical data analysis, and quantitative research.
• Proficient in Python, with experience in data science (PyTorch) and machine learning.
• Comfortable working with OMICS data, including NGS, metabolomics, and proteomics.
• Knowledge of command-line tools and Linux-based workflows is plus.
• Ability to work independently while seeking guidance when necessary.
• Strong scientific communication skills and ability to write structured reports.
  
  

Information on your application

Please submit your application as one PDF file, including a motivation letter, your CV including relevant achievements and degrees, and available references.