Postdoc in Computational RNA biology and Metagenomics

We have an open position focussed on the  development of novel computational approaches to study gene expression and RNA metabolism in complex bacterial samples. The candidate will focus on the multiomic integration of a wide variety of genomic data (metagenomics, metatranscriptomics, metadegradomics and phenotypic data). This will include the study of the crosstalk between translation regulation and mRNA decay in response to environmental and drug perturbations using novel tools that our laboratory has recently developed (Huch, Nersisyan et al. Nat microbiology 2023).

Deadline 24.Jun.2023

The candidate will perform original research in genomics and computational biology, and acquire the required experimental and computational skills necessary for the completion of the project. The candidate will use multiple model organism, from isolated bacteria and fungi to complex mixtures. The selected applicant will be responsible for developing and implementing analytical pipelines and integrate different kinds of data to answer biologically relevant questions. The successful candidate will take a strong lead in the experimental design and collaborate with other team members. The candidate is expected to communicate the scientific results by writing up scientific papers and attending scientific meetings. The ideal candidate is also expected to participate in the general duties of the team and to effectively communicate with scientists of very diverse backgrounds in a highly interdisciplinary and international environment. Working language is English.

The successful applicant should have experience interpreting biological data and experimentally testing their hypothesis. Previous experience on the computational analysis of metagenomics or metatranscriptomics are essential. Experience in Ribosome dynamics, RNA biology and gene expression will be highly considered. A strong interest in interdisciplinary technology development, and novel and creative thinking abilities are essential. Preferred experience also includes familiarity with bioinformatics, NGS data analysis, bioinformatic package development, Python and R scripting languages. Good interpersonal skills and ability to work in teams is essential. Previous experience in bacteria-drug interaction, antimicrobial resistance or microbial will be meriting.

Please apply and find more information  using the following link: