The following collaborations from our lab provide opportunities for prospective postdoctoral fellows to conduct interdisciplinary research between statistical method development, data science and applications in cutting-edge fundamental biology or biomedicine.

We are continually inviting applications for postdoc, PhD and internship positions. You can apply for one of two tracks:

1. Method development in statistical computing and bioinformatics,
2. Biological discovery through integrative data analysis (“dry biology”)

For track 1, you will have strong quantitative and analytical skills, such as acquired through a degree in mathematics, statistics, physics, 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 technologies used in biology research. You will have experience in scientific computing and be familiar with one or several computer languages. Familiarity with R is definitively 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, integrative operations, applications of mathematical models and visualizations. You are driven by making fundamental discoveries by mining cutting-edge, large data sets.

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 projects) or data analysis reports (e.g. markdown reports or Jupyter notebooks). Applicants are encouraged to get in touch with additional suggestions of project directions.

Please note that we recruit PhD candidates via EMBL’s international PhD programme and you need to submit your application documents within the deadline, even if you have discussed the PhD position with Wolfgang Huber in advance.

Collaborations

Potential collaboration partners for interdisciplinary projects include:

• Sascha Dietrich, University Hospital Heidelberg: Germanytumour-stroma interactions, spatial sc-RNA-seq
• Michael Boutros, DKFZ, Germany: high-throughput genetics, imaging, in-vivo perturb-seq
• Lars Steinmetz, Stanford University, USA, EMBL Heidleberg: systems genetics, genomic technologies
• Thorsten Zenz, University Hospital Zurich,Switzerland: genomics of drug sensitivity in blood cancers

• Nassos Typas, EMBL Heidelberg: bacterial communities and high-throughput perturbation assays
• Susan Holmes, Stanford University, USA: statistical method development for multi-omics data
• Sinem Saka, EMBL Heidelberg: spatial proteomics at (sub)cellular resolution