Research Associate/Postdoc Computational Cancer Biology
- Location
- Dresden, Sachsen (DE)
- Posted
- 14 Dec 2022
- End of advertisement period
- 31 Jan 2023
- Academic Discipline
- Life sciences, Biological Sciences
- Job Type
- Research Related, Research Associate
- Contract Type
- Fixed Term
- Hours
- Full Time
The Biotechnology Center (BIOTEC) (https://tu-dresden.de/cmcb/biotec) and its partner institutions, B CUBE and the Center for Regenerative Therapies (CRTD), are equipped with state-of-the-art facilities for Molecular Bioscience research (https://tu-dresden.de/cmcb/bcube/forschung-technologie/technologieplattform). They are part of a rich and collaborative environment that includes the Faculty of Mathematics and Natural Sciences, the Faculty of Medicine, the Max-Planck- Institute of Molecular Cell Biology and Genetics (MPI-CBG), and the Leibniz Institute for Polymer Research (IPF). For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.
At the Biotechnology Center (BIOTEC), an Institute of the Center for Molecular and Cellular Bioengineering (CMCB), the Research Group Biomedical Genomics offers a position as
Research Associate/Postdoc Computational Cancer Biology (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting on April 1, 2023 or as soon as possible. The position is limited for 2 years. An extension to approximately 4 years is anticipated. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz-WissZeitVG). The position offers the chance to obtain further academic qualification.
Tasks: Tumours develop by stepwise acquisition of abnormal cellular behaviour through genetic and non-genetic changes. In the evolving process they accumulate heterogeneity, a main driver for therapy resistance and relapse.
To strengthen our diverse team, we are looking for a postdoctoral fellow to study tumour evolution, heterogeneity, and resistance in fusion-gene-driven sarcomas in children and young adults. This is part of a large „Decade Against Cancer“ consortium „HEROES-AYA“ distributed over multiple locations, including the German Cancer Research Center (dkfz).
The Research Group of Anna Poetsch, where this project will be based, will particularly focus on data integration of largely multi-omics data in bulk and single cell to generate biological insight into mechanisms behind tumour evolution, heterogeneity, and resistance.
The position will offer an exciting collaborative interdisciplinary research project embedded in a prestigious research consortium. The successful candidate will use methods on multi-omics data analysis and machine learning to investigate biological mechanisms behind tumour evolution, heterogeneity, and resistance. Data will be available for genomics (WGS, sc-DNA-seq, spatial genomics, copy number alterations), epigenomics (ATAC-Seq, sc-ATAC-Seq, DNA methylation), transcriptomics (RNA-Seq, scRNA-Seq), proteomics, pathology, radiology, liquid biopsies, clinical data, and experimental data on patient-matching organoid models. Thus, the successful candidate will have the opportunity to receive training in cutting edge methods in multi-omics data integration (in bulk and single cell), state-of-the-art and novel machine learning approaches, and translational cancer research. This also applies to teaching (e.g. by supervising tutorials) and scientific work.
Requirements:
- excellent university and PhD degree with experience in at least one of molecular biology, computational biology, genetics, genomics, cancer biology, or equivalent scientific background with an excellent understanding of genome biology and cancer research.
- Comprehensive programming experience in python and/or R.
- Demonstrable experience in multi-omics data analysis.
- very good interpersonal and communication skills; in particular, the ability to effectively work in a diverse, collaborative and interdisciplinary research environment.
- Fluency in English - written and oral. (German is not required).
The BIOTEC/CMCB is a renowned interdisciplinary and international research institute of the TU Dresden that boasts a collaborative spirit and cutting-edge technology platforms, including one of the national genome centres and cutting-edge High Performance Computing resources. The city of Dresden and the HEROES-AYA consortium provide numerous chances for scientific exchange and collaboration.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your comprehensive application including the usual documents, including a letter of motivation, your CV including a list of publications, transcripts of records, and contact details for 2-3 academic references, by January 31, 2023 (stamped arrival date of the university central mail service applies) preferably via the TU Dresden SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf document to sabine.zeissig@tu-dresden.de, alternatively via mail to: TU Dresden, BIOTEC, Forschungsgruppe Biomedizinische Genomik, Frau Dr. Anna Poetsch, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.