Position: Computational Biologist
Department: Mechanisms Regulating Gene Expression / Somatic Diversification in Immunity
Code number: 2019-0308
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.
We are currently looking for an experienced Computational Biologist to join the laboratories of Nina Papvasiliou and Michaela Frye at the German Cancer Research Center (DKFZ) in Heidelberg. Our labs study the dynamic occurrence of various RNA modifications in a transcriptome-wide manner to understand how they contribute to major biological processes, including cellular diversity, stress responses, immunity and cancer.
The successful applicant will devise and carry out computational analyses of existing and novel large-scale epitranscriptomic, transcriptomic and proteomic datasets. The required tasks will involve developing and applying bioinformatics methods to mine large multi-omics datasets from various biological systems. The work will comprise technical as well as discovery aspects and will be carried out independently and together with internal and external collaborators.
A PhD in a field related to computational biology and solid training in molecular and system-wide biology is required. Equally important is a high motivation to learn and adapt scientific challenges and to become a positive member of the labs. We use many different methodologies and concepts in different areas in biology. Therefore, an open mind set and abroad interest in biology across subfield boundaries is needed.
Other required skills:
- Excellent data analysis skills in R or Python
- Fluent in English and good written and oral communication skills
- Excellent organizational skills
- Interesting, versatile workplace
- International, attractive working environment
- Campus with modern state-of-the-art infrastructure
- Salary according to TV-L including social benefits
- Possibility to work part-time
- Flexible working hours
- Comprehensive further training program
Earliest Possible Start Date: as soon as possible
Duration: The position is limited to 1 year with the possibility of prolongation.
The position can in principle be part-time.
Application Deadline: 28.09.2019
Dr. Michaela Frye
Phone +49 6221/42-4165
Please note that we do not accept applications submitted via email.