Staff Scientist / Postdoc - Functional Cancer Genomics (m/f)
- Applicants must hold a Ph.D. or equivalent degree in biology, biochemistry, biotechnology, medicine or a related field and have an excellent track record in international peer-reviewed journals
- Applicants must have several years of experience in cancer research, functional genomics technologies, as well as strong experience in molecular and cellular biology with specific focus on the methods described above
- Experience in the acquisition of third party funding is of advantage
We are seeking an exceptionally talented and highly motivated research scientist for the "Cancer Vulnerability Screening Platform" (CVS Platform; headed by Prof. Michael Boutros and Prof. Claudia Scholl) within the German Consortium for Translational Cancer Research (DKTK) for the systematic analysis of biological functions of cancer mutations and their impact on cellular networks.
Cancer genome sequencing studies have provided us with comprehensive catalogues of somatic cancer mutations, which are a basis for the development of molecularly targeted therapies for cancer patients. However, a major barrier for the successful translation of gene mutations into clinical application is the unclear biological relevance of most of the genes identified in such studies and their impact on intracellular signaling networks. We want to address these challenges in a new research program, which involves a functional genomics platform that aims to systematically investigate the function and relevance of altered genes and their impact on intracellular signaling networks in cancer.
The successful candidate will be responsible for the implementation and development of experimental technologies and scientific strategies. Methods that will be applied include but are not limited to (i) the establishment of pipelines for the generation of isogenic cellular models and their initial phenotypic characterization (ii) the establishment, optimization and maintenance of large-collections perturbation reagents (CRISPR and shRNA); and (iii) large-scale functional screens using CRISPR/Cas9 and shRNA libraries to identify genetic co-dependencies and functional networks. The position also involves close interactions with computational scientists that are involved in the research program, and close interactions and collaborations with other divisions and research groups.
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