The Department of Computational Biology for Infection Research at the HZI, led by Prof Dr Alice C. McHardy, is looking for excellent postdocs in computational biology or bioinformatics. 

The goal of our projects is the development of algorithms and computer-aided methods to analyze (meta)-omics data of the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients, to further personalize medicine in infection research. The methods that we employ or develop in our research are related to the fields of machine learning, phylogenetics and population genetics-. The lab co-organizes the Critical Assessment of Metagenome Interpretation challenge (CAMI; Sczyrba et al., Nature Methods 2017), hosts the bioinformatics unit of the German Center for Infection Research (DZIF; https://www.dzif.de), is part of the new German excellence cluster RESIST (www.dfg.de) and a priority programme on CRISPR-Cas (https://gepris.dfg.de/gepris/projekt/405892038) and collaborates locally, nationally and internationally with biologists and medical experts. The lab’s projects offer plenty of opportunity for an excellent bioinformatics postdoc to shine.

Requirements: The candidate should have a PhD degree in bioinformatics, computational biology, machine learning, biomathematics, computer science, statistics or similar and a competitive publication record. A commitment to reproducible research, the ability to work in a highly interdisciplinary research field and very good programming skills are obligatory. Prior experience in meta’omics, infection research, statistical learning or with the analysis of NGS data sets is advantageous, but not required.