Typesize: A | A | A

Sorry, but this job posting is no longer current.

Please search current job opportunities in education, research and development. offers the largest choice of jobs and vacancies at universities and research institutes and in Research and Development in industry.

The German Cancer Re­search Center is the largest bio­medi­cal re­search insti­tu­tion in Germany. With approx­imate­ly 3,000 em­ployees, we operate an exten­sive scien­tific program in the field of cancer research.
The NCT Molecular Pathology Core is seeking a


(Ref-No. 349/2017)

Further development of the experimental morphologic and molecular pathology core at the NCT (National Center for Tumor Diseases) is essential for the translation of discoveries from large-scale experimental programs of the NCT, DKFZ, and DKTK (German Cancer Consortium) into diagnostic and therapeutic application. The core comprises a unit for translational morphology as well as a large molecular analysis platform for translation of -omics findings into high throughput human tissue studies and molecular diagnostic setting. The core will function as a pathology knowledge hub between experimental programs, translational pathology and oncology.
The position offers the prospect of leading the bioinformatics unit that is currently being built up at the Institute of Pathology at the University Hospital Heidelberg. Applicants must have a strong record of research in applied bioinformatics and computational biology, including the ability to integrate multiple types of large scale data. The appropriate person will coordinate the bioinformatics aspects of individual and collaborative projects involving large scale datasets. Candidates must bring a demonstrated ability to pursue active and viable research in a multi-disciplinary manner.
  • Analysis of multidimensional and large data sets which are either already available or will be generated using state-of-the-art techniques
  • Statistical correlation analysis (e.g. phenotype-genotype correlations) with additional, case-specific clinical, pathological and molecular data sets
  • Analysis of next generation sequencing (NGS) data, including variant calling (SNV, In/Del), structural variants (SV), copy number variations (CNV), expression profiles, differentially expressed genes, fusion genes, enrichment profiles, gene ontology, gene set analysis and pathway analysis; experience with Illumina-derived data sets is particularly advantageous
  • Roll-out and advancement of databases, which includes improving the effectiveness and the technology used, building up new databases, monitoring data entry procedures and troubleshooting
Your profile:
  • PhD with documented strong performance in applied bioinformatics, computational biology, or computer science (or equivalent experience)
  • Excellent oral and written communication skills in German and English
  • Good understanding of molecular and cancer biology
  • Solid knowledge in statistics and R programming
  • Experience in the analysis of next generation sequencing data
  • Experience with programming and/or scripting languages
  • Experience with unix compute systems and system administration
  • Strong communication skills
The position is limited to 2 years.
The position can in principle be part-time.
For further information please contact
Project coordination: Dr. rer. nat. Amelie Lier
Project leader: Dr. med. Albrecht Stenzinger
phone +49 6221 56-38175
The German Cancer Research Center is committed to increase the percen­tage of female scien­tists and encour­ages female appli­cants to apply. Among candi­dates of equal aptitude and quali­fi­ca­tions, a person with dis­abili­ties will be given preference.
To apply for a position please use our online application portal (
We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebs­forschungs­zentrum, Personal­abteilung, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications sub­mitted via email. We apologize for any inconvenience this may cause.

Published on on date 21 December 2017
In your application, please refer to