PhD Project "PhD student position in genomic analysis of brain tumors" ( Turcan Project_01) - Heidelberg University

Date: 01/09/2023
Application Deadline: 01/08/2023

As a key member of our team, the PhD student will have the opportunity to analyze, interpret, and make a significant impact on the computational projects in the lab

We are looking for a bioinformatics PhD student to join the research team of Dr. Sevin Turcan at the University Hospital Heidelberg/National Center for Tumor Diseases. Our laboratory uses advanced omics techniques to analyze patient samples and preclinical in vitro/in vivo models to study brain tumor biology. As a key member of our team, the PhD student will have the opportunity to analyze, interpret, and make a significant impact on the computational projects in the lab by analyzing genomics datasets obtained from primary brain tumor samples and preclinical glioma models (e.g., single-cell RNA-seq/ATAC-seq and spatial transcriptomics). This work will be critical in uncovering biological insights into adult brain tumors. The project is initially limited to 3 years, with the possibility of extension. 

To learn more about our lab and the work we do, please visit our website at: https://www.klinikum.uni-heidelberg.de/Lower-Grade-Gliomas.142000.0.html

Responsibilities: 

  • Design and implement bioinformatics pipelines for data analysis (particularly single cell RNA-seq and spatial transcriptomics) 
  • Develop and apply computational methods for the analysis and integration of genomics and epigenomics data 
  • Communicate results effectively in both written and oral formats

Personal qualifications: 

  • Master’s degree in bioinformatics, computational biology, or a related field 
  • Proficiency in at least one programming language (e.g., R, Python) 
  • Familiarity with single cell data analysis tools and software 
  • Excellent communication skills in spoken and written English. 
  • A high level of motivation, flexibility, and reliability.

Please submit your application exclusively through the HBIGS application system : http://www.hbigs.uni-heidelberg.de/main_application.html

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