The Klinikum rechts der Isar university hospital of the Technical University of Munich is a major European center of medical care and education and teaching with 1 161 beds and around 5 500 employees. Every year around 60 000 patients benefit from in patient and around 250 000 patients from out patient care. The hospital is a supra-maximal care home that covers the entire spectrum of modern medicine. Since 2003, the Klinikum rechts der Isar is an institute of public law of the Free State of Bavaria.
The Department of Medicine II of the Technical University of Munich (TUM) and the Institute of Translational Cancer Research and Experimental Cancer Therapy at TUM and the German Cancer Research Center invite applications for the position of a
Computational biologist / bioinformatician (f/m/d) for translational cancer research
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 path ways 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 generated a cohort of thousands PDAC primary tumors and cell cultures. Molecular characterization with muliple NGS methods has been per formed. The advertised project is there fore 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 (f/m/d) will have the opportunity to:
- Set up a bioinformatics plat form and develop in-house computational pipe lines for analysis of omics data sets, with particular focus on Next-Generation DNA Sequencing (NGS) platform for Whole Exome Sequencing, Whole Genome Sequencing and RNA-seq Utilize available soft ware and pipe lines to generate and analyze NGS data sets from DNA- and RNA-based experiments
- Apply bioinformatics techniques to published / unpublished data for the analysis and interpretation of omics data sets Aid researchers select and use computational and statistical tools relevant to their projects
The candidate (f/m/d) will inter act within a multidisciplinary environment of biologists, clinicians, computer scientists and mathematicians within the TranslaTUM. The successful candidate (f/m/d) will work closely with a diverse team to formulate hypo theses and validate predictions using
genomic assays. She / he will be exposed to cut ting 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 trans poson mutagenesis).
Payment is according to tarif (TV-L). We give priority to severely disabled applicants (f/m/d) with essentially equal qualifications.
We are looking for an exceptional computational scientist (f/m/d) at the PhD or MSc level. Previous exposure to and experience with bioinformatics as well interests in molecular aspects of cancer research is essential.
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).