Work 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 the method development track, you 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, where others in the team generate new data, and are eager to get to grips with relevant areas of biology and the measurement technologies used. You have experience in scientific computing. Familiarity with R is a plus. Unsure about doing a PhD or a postdoc? It can be daunting for someone with a STEM background to consider a PhD or postdoc in the life sciences. To smoothen the transition and help you figure out whether and what subfield of biology is the right one for you, we offer internships. Typically, these will be for around 6 months and are remunerated. (Please understand that we can only offer one or two of these at any time.)

For the discovery science track, you have training in life sciences and strong coding skills that enable you to undertake complex data wrangling, visualizations, integrative analyses 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 required.

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.

Note

Like most people these days we get far too much email. Because of this we sometimes miss important messages. Please accept our apologies if we do not respond in a timely manner and feel free to resend your message.

Partners for collaborative projects

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

  • 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
  • Michael Boutros, DKFZ: in-vivo Perturb-Seq and high-throughput imaging-based phenotyping
  • Oliver Stegle, EMBL: statistical genomics and systems genetics
  • Aurélie Ernst, DKFZ: Genome Instability in Tumors
  • Carsten Müller-Tidow, University Clinic Heidelberg: Epigenomics, epitranscriptomics and novel therapy approaches in AML
  • Nikos Ignatiadis, Chicago: statistical methodology
  • Victoria Ingham, University Hospital Heidelberg: Parasitology, insecticide resistance and malaria
  • Davide Risso, University of Padova: statistical method development for - Anna Kreshuk, EMBL: biological phenotyping in imaging-based latent spaces, foundation models 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