The Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC) is one of the world’s leading biomedical research institutions. Max Delbrück, a Berlin native, was a Nobel laureate and one of the founders of molecular biology. At the MDC’s locations in Berlin-Buch and Mitte, researchers from some 60 countries analyze the human system – investigating the biological foundations of life from its most elementary building blocks to systems-wide mechanisms. By understanding what regulates or disrupts the dynamic equilibrium in a cell, an organ, or the entire body, we can prevent diseases, diagnose them earlier, and stop their progression with tailored therapies. Patients should benefit as soon as possible from basic research discoveries. The MDC therefore supports spin-off creation and participates in collaborative networks. It works in close partnership with Charité – Universitätsmedizin Berlin in the jointly run Experimental and Clinical Research Center (ECRC), the Berlin Institute of Health (BIH) at Charité, and the German Center for Cardiovascular Research (DZHK). Founded in 1992, the MDC today employs 1,600 people and is funded 90 percent by the German federal government and 10 percent by the State of Berlin.
The Akalin and Landthaler laboratories are jointly looking for a highly motivated Bioinformatics Postdoctoral Researcher (f/m/d) to join our international teams.
The successful candidate (f/m/d) will closely work together with wet-lab and computational scientists (f/m/d) and will be responsible for the processing and analyses of bulk, single cell and spatial sequencing data, particularly related to investigating the transcriptome interactions with metabolites and organoid models of viral infection.
- Analysis and interpretation of metabolite/protein-RNA NGS-based interaction data
- Development of analyses pipelines tailored to single cell multi-omics data and spatial transcriptomics
- Development of data integration and machine learning approaches for single-cell and spatial data modalities
A PhD degree in Computational Biology or related discipline, with a focus on quantitative analysis methods in omics space. The candidate (f/m/d) should have a strong background in statistics and computational biology, including strong programming skills in R (Bioconductor) and/or Python. A basic understanding in molecular genetics and previous experience with analysis of multiple RNA-seq technologies is considered a plus. The candidate (f/m/d) should be also strongly motivated, team-oriented and have excellent communication skills.
- International working environment with communication in English and German
- Interesting career opportunities and a comprehensive range of qualification and further training opportunities
- Compatibility of family and career certified by the berufundfamilie audit
- Varied support for "New Berliners" (Welcome & Family Office)
- Company health management with fitness center
You also benefit from:
- A remuneration in accordance with the collective agreement for the federal public service (TVöD-Bund), including additional company pension schemes
- Flexible working hours and childcare support
- An idyllic green campus, which is easily accessible by bicycle, public transport or car