Working with us

We are continually inviting applications for Postdoc, PhD thesis, Master thesis and internship positions. You can mix and match from two tracks:

For Track 1, you will have strong quantitative and analytical skills, such as acquired through a degree in theoretical physics, statistics, mathematics, computer science or a related field. You have curiosity and motivation to work in interdisciplinary projects, which include generation of new data and their analysis, and are eager to get to grips with relevant areas of biology and the measurement technologies used. You have experience in scientific computing and are familiar with one or several computer languages. Familiarity with R is a plus.

For Track 2, you will have a training in life sciences and strong coding skills that enable you to undertake complex data transformations, visualizations, integrative operations and application of mathematical models. You are driven by making fundamental discoveries by mining cutting-edge, large data sets, often in collaboration with experimental or biomedical scientists. Familiarity with R is a must.

To apply, please contact Wolfgang Huber with your CV, a brief statement of research interests, and examples of your work: besides your publications, this can include theses, research reports, talk slides, software projects (e.g., R packages, GitHub repositories) or data analysis reports (e.g., Quarto/Rmarkdown reports, Jupyter notebooks).

Please note that we recruit PhD candidates solely through the EMBL international PhD programme or—for candidates with a background in statistics and machine learning—through the ELLIS PhD programme, which collaborates with EMBL. You are highly welcome to discuss with Wolfgang Huber in advance.

Partners for collaborative projects

The following list provides potential co-supervision partners for exciting opportunities to pursue interdisciplinary projects. The list is not exhaustive.

  • Michael Boutros, DKFZ: in-vivo Perturb-Seq and high-throughput imaging-based phenotyping
  • Sascha Dietrich, University Hospital Düsseldorf and MMPU: spatial omics, immunotherapies and the tumor microenvironment, immunooncology
  • Thorsten Zenz, University Hospital Zürich: ’omics of drug sensitivity in blood cancers
  • Oliver Stegle, EMBL: statistical genomics and systems genetics
  • Aurélie Ernst, DKFZ: Genome Instability in Tumors
  • Nikos Ignatiadis, Chicago: statistical methodology
  • Victoria Ingham, University Hospital Heidelberg: Parasitology, insecticide resistance and malaria
  • Anna Kreshuk, EMBL: biological phenotyping in imaging-based latent spaces, foundation models, LLMs
  • Davide Risso, University of Padova: statistical method development for spatial omics, deep
  • Lars Steinmetz, EMBL and Stanford: high-throughput imaging-based phenotyping and high-speed fluorescence image–enabled cell sorting
  • Misha Savitski, EMBL: stability proteomics
  • Nassos Typas, EMBL: high-throughput phenotyping of microbial communities under genetic and chemical perturbations; antibiotica, phages
  • The Bioconductor Community