Computational Biology for Infection Research
The Department of “Computational Biology for Infection Research” studies the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients by analysis of large-scale biological and epidemiological data sets with computational techniques. Focusing on high throughput meta’omics, population genomic and single cell sequencing data, we produce testable hypotheses, such as sets of key sites or relevant genes associated with the presence of a disease, of antibiotic resistance or pathogenic evasion of immune defense. We interact with experimental collaborators to verify our findings and to promote their translation into medical treatment or diagnosis procedures. To achieve its research goals, the department also develops novel algorithms and software.
The Research Department “Computational Biology for Infection Research” welcomes applications at all seniority levels in the following fields:
- Bioinformatics / Computational Biology
- Computer Science
We are looking for motivated applicants with a strong background in the above-mentioned fields, good coding skills and interest in interdisciplinary research in biology and infection research.
Methods that we employ or develop in our research are related to the fields of:
- Machine learning and deep learning
- Phylogenetics and population genetics
The goal of our projects is the development of algorithms and computer-aided methods to analyze the human microbiome, viral and bacterial pathogens, and human cell lineages within individual patients.
Some, but not all, currently open positions are listed below. Therefore unsolicited applications are always welcome. Please send your applications to Jobs.BIFO@helmholtz-hzi.de.
Open job offers: