The Klinikum rechts der Isar university hospital of the Technical University of Munich is a major European center of medical care and education. With over 1.161 beds and almost 5.500 employees, we treat 300.000 patients per year with state-of-the art care.
The “Department of Medicine II” of the Technical University of Munich (TUM)and the Institute of Translational Cancer Research at TUM and the German Cancer Research Center invites applications for a PhD Student/Post-doctoral fellow or Bioinformatician position in Bioinformatics and Cancer Biology at the Center for Translational Cancer Research (TranslaTUM) in Munich.
We are deploying genetic models to study molecular, immunological and translational aspects of pancreatic cancer. We utilize these systems to uncover molecular mechanisms as well as inflammatory and immune pathways that are required for tumor initiation and -progression in vivo (e.g. Nature 2018, 554:62- 68; Nat. Commun. 2016, 7:10770; Nat Med. 2014, 20:1340-7; Cancer Cell. 2013,24:15-29, Cancer Cell. 2013,23:406-20, Nat Commun. 2013;4:1630; PNAS 2011, 108:9945-50). During the past decade, our lab has isolated a cohort of thousands PDAC primary cell cultures. Molecular characterization with multiple NGS methods has been performed. The advertised project is therefore focused on unraveling the molecular mechanisms of tumor development by analyzing the before mentioned annotated resources.
We are a young and enthusiastic team and offer intensive training and mentoring. The successful candidate will have the opportunity to:
Set up a bioinformatics platform and develop in-house computational pipelines for analysis of omics datasets, with particular focus on Next- Generation DNA Sequencing (NGS) platform for Whole Exome Sequencing, Whole Genome Sequencing and RNA-seq.
Utilize available software and pipelines to generate and analyze NGS datasets from DNA- and RNA-based experiments;
Apply bioinformatics techniques to published/unpublished data for the analysis and interpretation of omics datasets;
Aid researchers select and use computational and statistical tools relevant to their projects.
The candidate will interact within a multidisciplinary environment of biologists, clinicians, computer scientists and mathematicians within the TranslaTUM. The successful candidate will work closely with a diverse team to formulate hypotheses and validate predictions using genomic assays. She/he will be exposed to cutting edge methods to study translational aspects of cancer (e.g. Cre/loxP and Flp/frt based dual- and triple recombinase systems, organoid culture, orthotopic transplantations of organoids, CRISPR/Cas9, in vivo imaging, in vivo transposon mutagenesis).
We are looking for a computational scientist with good record at the PhD or experienced MSc level. Previous exposure to and experience with bioinformatics as well interests in molecular aspects of cancer research is essential.
Payment is according to tarif (TV-L). We give priority to severely disabled applicants with essentially equal qualifications.
Please send your application including a letter of motivation, CV, certificates, recommendation letters in one pdf file to Prof. Dieter Saur (e- mail: email@example.com).