Research Associate / Postdoc Computational Cancer Biology work with TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)

At Biotechnology Center (BIOTEC)an institute of Molecular and Cellular Bioengineering Center (CMCB), the Biomedical Genomics Research Group offer, subject to the availability of resources, a position of

Research Associate / Postdoc Computational Cancer Biology (m/f/x)
(subject to personal qualification, employees are paid according to salary group E 13 TV-L)

departure January 1, 2023. The position is limited to 2 years. The duration of employment is governed by the law on fixed-term research contracts (Wissenschaftszeitvertragsgesetz – WissZeitVG). The position offers the possibility of obtaining an additional academic qualification.

Tumors develop by progressive acquisition of abnormal cellular behavior through genetic and non-genetic changes. During the evolutionary process, they accumulate heterogeneity, the main driver of treatment resistance and relapses.

To strengthen our diverse team, we are seeking a postdoc to study tumor progression, heterogeneity, and resistance in fusiongene-induced sarcomas in children and young adults. This is part of a large “Decade Against Cancer” “HEROES-AYA” consortium spread across multiple locations, including the German Cancer Research Center (dkfz).

The Biomedical Genomics Research Group (Dr. Anna Poetsch), where this project will be based, will particularly focus on integrating large multi-omics bulk and single-cell data to generate biological insight into the mechanisms underlying evolution, heterogeneity and tumor resistance. .

Tasks: The successful candidate will use multi-omics data analysis and machine learning methods to study the biological mechanisms underlying tumor 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 organoid models corresponding to patients. Contribution to teaching (eg by supervising tutorials) and scientific work is required.

Terms:

  • excellent university degree and doctorate with experience in molecular biology, computational biology, genetics, genomics, cancer biology or equivalent scientific training with an excellent understanding of genome biology and cancer research,
  • in-depth experience of programming in python and/or R,
  • demonstrable experience in multi-omics data analysis,
  • very good interpersonal and communication skills; in particular, the ability to work effectively in a diverse, collaborative and interdisciplinary research environment,
  • proficiency in English – written and spoken (German is not required).

We offer:

  • an exciting collaborative interdisciplinary research project embedded in a prestigious research consortium.
  • The successful candidate will have the opportunity to receive training in state-of-the-art methods in multi-omics data integration (bulk and single-cell), state-of-the-art and novel machine learning approaches, and translational cancer research.
  • The BIOTEC/CMCB is a renowned interdisciplinary and international research institute of TU Dresden which boasts of a collaborative spirit and state-of-the-art technology platforms, including one of the National Genome Centers and state-of-the-art high-performance computing resources . The city of Dresden and the HEROES-AYA consortium offer many opportunities for scientific exchange and collaboration.

Applications from women are particularly welcome. The same goes for people with disabilities.

Please submit your complete application including a cover letter, your CV including a list of publications, transcripts and contact details of 2-3 academic references per September 23, 2022 (the stamped arrival date of the central mail service of the university applies), preferably via the TU Dresden SecureMail portal https://securemail.tu-dresden.de by sending it as a single pdf document sabine [email protected] or to: TU Dresden, BIOTEC, Forschungsgruppe Biomedizinische Genomik, Dr. Anna Poetsch, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Costs incurred to attend 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 data protection information can be found on the website: https://tu-dresden.de/karriere/datenschutzhinweis

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