PhD student (f/m/d) position in Computational Biology/Bioinformatics for translational cancer research with a focus on the analysis of single cell sequencing data
- Veröffentlicht: Freitag, 17. Januar 2020 08:27
The Department of Internal Medicine II, at the Technische Universität München (TUM) and the Institute of Translational Cancer Research and Experimental Cancer Therapy at TUM and the German Cancer Research Center offers a
PhD student (f/m/d) position
in Computational Biology/Bioinformatics for translational cancer research with a focus on the analysis of single cell sequencing data
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 generated a comprehensive resource of pancreatic primary tumors and primary cell cultures. Multiple NGS methods have been performed to decipher the molecular makeup of these tumors. The advertised project focuses on unraveling tumor heterogeneity and its impact on treatment response and resistance using single cell sequencing techniques and will be performed in close collaboration with the Floßdorf lab (Dr. rer. nat. Michael Floßdorf) at TUM.
We are an enthusiastic and international team and offer intensive training and mentoring. The successful candidate will have the opportunity to:
• Set up bioinformatics platforms and develop computational pipelines for the analysis of single cell RNA-sequencing and single cell DNA-sequencing datasets
• Integrate these datasets with molecular (WES, WGBS, lcWGS, ChIPseq, ATACseq), phenotypic (e.g. histology) and clinical information
• Apply bioinformatics techniques to published/unpublished data for the analysis and interpretation of omics datasets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 single cell sequencing projects
The successful candidate will interact within a multidisciplinary environment of biologists, clinicians, computational scientists and mathematicians within the TranslaTUM. She/he will work closely with a diverse team to formulate hypotheses and validate predictions using genomic and transcriptomic assays. She/he will be exposed to cutting edge experimental methods to study translational aspects of cancer.
We are looking for an exceptional self-motivated computational scientist with a strong analytical background. Previous exposure to and experience with bioinformatics as well interests in molecular aspects of cancer research are an asset, but not required. Due to the interdisciplinary framework and close collaboration with wet-lab scientists, communicative skills are essential.
We give priority to severely disabled applicants with essentially equal qualifications. Payment according to tariff (TV-L).
We are looking forward for you application!
Univ.-Prof. Dr. med Dieter Saur
Institut für Experimentelle Tumortherapie
Klinik und Poliklinik für Innere Medizin II
Klinikum rechts der Isar der Technischen Universität München
Ismaninger Straße 22