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German Cancer Research Center / University Hospital Heidelberg
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
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
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.