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Postdoctoral Position - Bioinformatics (f/m/d)

postdoc / scientific staff

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.

Job Description

  • 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.

We offer

  • 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

AG Landthaler

Application Period:
January 31, 2022

MDC Berlin-Mitte

Remuneration will be according to the TVöD Bund, depending on the personal requirements, up to the fee group 13.

Employment volume:
Full Time

Desired starting date:
March 01, 2022

Fixed Term
The position is limited to 2 years with the option of extension.

Sabrina Deter
AG Landthaler

Parity and equal status:
The MDC is committed to diversity and actively promotes equal opportunities for all employees regardless of their origin, religion, ideology, health impairment, age or sexual identity. We look forward to receiving applications from open-minded people who enjoy working in diverse teams. Applications from severely disabled persons will be given special consideration.

Please use our online portal and submit your application as one pdf file (5 MB max, including a cover letter, CV, references (contact information for 3 references).
as well as relevant educational and degree certificates)

Apply now