PhD in Biomedical Data Science and Bioinformatics

The Krauthammer Lab is looking for a PhD candidate to expand our multinational research team of bioinformaticians and data scientists at the University of Zurich working on cutting-edge translational research problems.

PhD in Biomedical Data Science and Bioinformatics

The main project that the candidate will be responsible for (and which provides funding for the position) concerns the multimodal data analysis in colorectal cancer (clinical records and multiomics). The candidate is expected to contribute to other ongoing projects with regard to machine learning in genomics and bioinformatics.

Required skills:

• Expert knowledge in at least one programming language
• Basic knowledge of tumor genomics
• Basic knowledge in machine learning and openness to learn more
• Fluency in English
• Experience in working with large datasets on high-performance computing clusters

Preferred skills:

• Experience with NGS analysis and with bioinformatic tools
• Proficient in Python and the scientific computing stack (SciPy, Numpy, Scikit- learn, pandas)
• Familiarity with methods integrating multiple genomic modalities (e.g. epigenetics and transcriptomics)
• Proficient in one of the deep learning frameworks (PyTorch, Tensorflow, or Jax)
• Basic understanding of Generative ML models (i.e. Diffusion model, VAE, autoregressive language model, GAN, etc.)

• a motivated and committed team that values mutual support, appreciation, and respect
• an innovative, interdisciplinary, and highly specialized work environment
• access to state-of-the-art infrastructure
• outstanding working conditions at the University of Zurich

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