We are looking for applicants for a PhD in Biomedical Data Science and Bioinformatics

PhD in Biomedical Data Science and Bioinformatics

We are looking for a PhD candidate to expand our multi-national research team of bioinformaticians and data scientists at the University of Zurich working on cutting-edge translational research problems. 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 on-going 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.)

To apply, please send an email with your CV and motivation letter to Claudia Stenger-Gysling (claudia.stenger-gysling@uzh.ch).

Michael Krauthammer

Interested in (a) moving data-driven solutions into patient care and (b) knowledge discovery from big biomedical data sources