Job Company: German Cancer Research Center (DKFZ)
We are seeking a highly motivated postdoctoral researcher to perform integrative analysis on large genomic and epigenomic (including DNA methylation, RNA-seq and ChIP-seq) datasets which are either already available in our group or which will be generated using state-of-the-art techniques. The candidate will have the opportunity to gradually take over functions as supervisor of PhD and master students with the perspective to develop towards a team leader in bioinformatics. [More]
We are seeking a highly motivated postdoctoral researcher to perform integrative analysis on large genomic and epigenomic (including DNA methylation, RNA-seq and ChIP-seq) datasets which are either already available in our group or which will be generated using state-of-the-art techniques. [More]
The Division of Preventive Oncology is seeking for January 2017 a PhD Student. The main focus of this research project is the practical application and development of tailored statistical methods for the evaluation of (epi)genetic data from association and expression studies. It is based on IMPACT, a long-term, population-based cohort study that aims to assess determinants of long-term outcomes (e.g. therapy response, survival) and quality of life (e.g. co-morbidities) in patients with colorectal cancer (CRC). [More]
The successful candidate will develop and apply strategies for the integrative analysis of pan-cancer and tumor type-specific genome data (e.g. from whole-exome and whole-genome sequencing, RNA sequencing), enabling the identification and prioritization of biologically relevant cancer mutations, which will be further characterized functionally. These analyses will give us insights into the function of unknown genetic variants, and will highlight new drug targets and repurposing opportunities. [More]
The division 'Proteomics of Stem Cells and Cancer' is looking for a postdoc to strengthen its research in the area of cancer proteomics. Our division (headed by Prof. Jeroen Krijgsveld) is funded by the Excellence Cluster CellNetworks and is part both of the DKFZ and the Medical Faculty of Heidelberg University. We are housed in a fully newly equipped laboratory including state-of-the-art mass spectrometry (e.g. Orbitrap QE-HF and Fusion), and we collaborate with many groups on campus, in Heidelberg, and internationally. Our main research interest is to develop proteomic tools that help us to understand how the proteome is dynamically regulated in time and space, and how this underlies properties related to malignancy in cancer and to pluripotency in stem cells. Our current research focuses on the role of secretory proteins, protein interactions in chromatin, and proteins that interact with RNA. The postdoc position is available to work in the area of quantitative cancer proteomics, focusing on protein expression profiling and integration with NGS, or its intersection with chromatin biology and signal transduction, depending on the interest and expertise of the candidate. [More]
The German Cancer Research Center (DKFZ) offers a Postdoc position in the computational genome biology group headed by Dr. Bernd Fischer. The research group works on quantitative analysis of genetic and physical interaction networks. Statistics and computational network analysis will be used to predict and understand interactions between genes, proteins...more... [More]
This position will involve working in the Division of Pediatric Neurooncology (headed by Prof. Stefan Pfister, www.pediatric-neurooncology.com) at the German Cancer Research Center (DKFZ), Germans largest biomedical research institute. The candidate will be part of the Computational Oncoepigenomics group headed by Dr. Lukas Chavez, which is embedded in the Division...more... [More]
Image-based high-throughput RNAi screening experiments produce complex phenotypes with multiple features being assessed in a single image. The extent and complexity of these data pose a big challenge with respect to data management and interpretation. The aim of the project, which is part of a new national bioinformatics initiative (de.NBI),...more... [More]