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 National Center of Tumor Diseases (NCT) Heidelberg is a joint institution of the German Cancer Research Center (DKFZ), the Heidelberg University Hospital and the German Cancer Aid. The NCT with sites in Heidelberg and Dresden is the leading oncological center in Germany and shall be expanded to an international center of excellence regarding point-of-care and individualised cancer medicine.
The German Cancer Research Center (DKFZ) is seeking for the National Center for Tumor Diseases (NCT) Heidelberg a
Postdoctoral Researcher – Computational Biology
The postdoctoral position in computational biology / bioinformatics is available in the Division of Translational Medical Oncology (Head, Prof. Stefan Fröhling).
Our ambition is to improve the way we practice oncology towards a more rational and personalized approach. Our division engages in all aspects of the translational research process, inlcuding one of the most comprehensive cancer molecular diagnostics programs worldwide (NCT/ DKTK MASTER), clinically guided exploratory research projects, and the implementation of innovative clinical trials. Within the NCT/DKTK MASTER program, we have analyzed more than 1,600 tumor samples by whole-exome or genome and RNA sequencing. In addition, we are using large-scale functional approaches, such as CRISPR/Cas9 screening, to discover specific gene and network essentialities in the context of different cancer types, gene mutations, and drug exposures. The successful candidate will exploit these layers of information to develop and perform integrative data analyses, modeling, and visualization, with the ultimate goal to better understand cancer biology and find cancer- or mutation-specific vulnerabilites that might be exploited for precision oncology. The position should be engaged for the purpose of a maternity leave replacement for 12 months, with the option of prolongation.
We are seeking a highly motivated candidate with a background or strong interest in systems biology, machine learning, and cancer biology. The position requires outstanding quantitative and analytical skills. Scientific curiosity, drive to work on interdisciplinary projects, and willingness to gain new insights into cancer biology are expected. Expertise in biostatistical computing in R is required. Experience in object-oriented programming (e. g. Python), shell scripting, and the analysis of large-scale genomic / transcriptomic data is a plus. The position requires the ability to assume independent responsibility of your project, strong teamwork and communication skills, reliability, attention to detail, and effective time management.
The applicant should hold a Ph.D. in bioinformatics or a related field. Candidates with a background in computer science, mathematics, or statistics should be familiar with molecular / cancer biology.
Applications should include a CV, motivation letter, copies of relevant certificates, list of publications and other scientific outputs (e. g. software), contact details of three references, and expected availability date.
The position is limited to 1 year with the possibility of prolongation.
The position can in principle be part-time.
For further information please contact
Tara Buschle, phone +49 6221 42-1633.
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 (">www.dkfz.de*).
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.