奥地利维也纳基因调控和蛋白质降解治疗界面的计算生物学博后职位

Postdoc: Computational Biology at the Interface of Gene Regulation and Protein Degradation Therapy

We are recruiting an ambitious bioinformatics postdoc for a collaboration project that seeks to revolutionize cancer therapy by targeted, drug-induced degradation of important regulatory protein complexes. The project combines the expertise of two labs at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences in Vienna, integrating large-scale data gen-eration using cutting-edge technologies (chemical biology, epigenome sequencing, single-cell screening, mass spectrometry, imaging, etc.) with a deep interest in bioinformatics methods development and applications in systems medicine.

The Project

We pursue a systems-level understanding of gene regulation in leukemia, combining novel chemical biology, functional genetic screens, and cutting-edge sequencing technology. Using a powerful method for degrading any protein of choice in a matter of minutes (Winter et al. 2015 Science, Erb et al. 2017 Nature), we will induce specific perturbations of gene regulation in leukemia cells, and we will monitor the cellular responses using high-throughput assays such as PRO-seq, ATAC-seq, ChIPmentation, and single-cell transcrip-tome sequencing. Based on these data, the successful candidate will establish regulatory network models using causal modeling tech-niques, which will provide the basis for further functional validations and for the identification of potential drug targets. In summary, the project will combine computational and experimental methods to establish a model of cell state deregulation in leukemia and to provide a rationale for pharmacologic degradation in cancer therapy.

The Candidate

We are looking for highly motivated and academically outstanding candidates who want to pursue a scientific career in the fields of computational biology and/or functional (epi-)genomics. A strong candidate may have a background in the computational sciences (bioinformatics, statistics, physics, engineering, etc.) and some prior experience with collaborative research in high-throughput biolo-gy. In the same way, we are considering applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing systems medi-cine projects. In this position you will work together with two laboratories and researchers of two different groups. This dual function requires excellent team player skills and a collaborative mindset as well as the ability to work independently.