We are looking for Masters Students in Bioinformatics!

We are currently looking for Master’s students in the fields of Bioinformatics and Genomic Data Science for the topic of

Liquid biopsy-based cancer monitoring

Cell-free DNA (cfDNA) is released by cells into the bloodstream or other bodily fluids. This cfDNA can easily be sampled through non-invasive methods called liquid biopsy. Like regular tissue biopsies, liquid biopsies also provide detailed genomic and epigenomic information about the tumor. Our research group focuses on identifying actionable biomarkers in cancer, that can be traced via blood tests and thus enable precision medicine. To this end, we rely on bulk and single-cell multiomics data to discover biomarkers that define how tumor cells respond to treatments. Subsequently, we develop methods for the detection of these biomarkers from liquid biopsies. In order to integrate datasets of different modalities and to enhance the accuracy of the detection of biomarkers, we utilize advanced machine learning methods.

Requirements

  • Background in bioinformatics, computer science, computational biology, data science, statistics, or a related quantitative discipline.
  • Some experience with Unix systems and proficiency in at least one scripting language (e.g. Python or R),
  • a strong understanding of biostatistics and a basic understanding of machine learning algorithms.

Depending on the student’s experience and interest, we offer projects focusing on:

  • Gene expression inference from cfDNA-sequencing data
  • Chromatin foundation models
  • Multiomics data integration for biomarker discovery
  • Development of computational methods for feature extraction from cell-free DNA sequencing data

You can apply by sending a CV to this e-mail along with a short description of your motivation to join our lab.

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Michael Krauthammer
PI

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

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