Bioinformatician or biostatistician specializing in mass spectrometry met

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 The mission of the Berlin Institute of Health (BIH) is medical translation: transferring biomedical research findings into novel approaches to personalized prediction, prevention, diagnostics and therapy and, conversely, using clinical observations to develop new research ideas. The aim is to deliver relevant medical benefits to patients and the population at large. The BIH is also committed to establishing a comprehensive translational ecosystem as translational research area at Charité – one that places emphasis on a system-wide understanding of health and disease and that promotes change in the biomedical research culture. The BIH is funded 90 percent by the Federal Ministry of Education and Research (BMBF) and 10 percent by the State of Berlin. The two founding institutions, Charité – Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), were independent member entities within the BIH until 2020. As of 2021, the BIH has been integrated into Charité as the so-called third pillar; the MDC is privileged partner of the BIH.  
For 2 years the BIH is immediately looking for a
Bioinformatician or biostatistician specializing in mass spectrometry met (m/f/d)
We are looking for a bioinformatician or a skilled applied statistician with good bioinformatics skills to work in our Metabolomics Platform. We work closely with the core unit bioinformatics and other statistical and bioinfomatic groups on cutting edge bioinformatics pipeline development and data modelling of metabolomics datasets. The position is based at the Metabolomics Platform of the Berlin Institute of Health at Charité (BIH) in Berlin Buch.
This job is suitable for one full time candidate or as a job share for two part time candidates. We encourage all hard working and talented individuals in this area to apply. We support Equality, Diversity and Inclusion Principles including flexible working practices where possible.

Job description:

  • Further existing projects by providing the bioinformatics and statistical support and analyzing metabolomics data alongside other data (including medical data, other omics data and microbiome data) to elucidate the mechanisms of disease processes. You will also work on developing new bioinformatics and analysis pipelines as required to automate and improve metabolomics throughput and data analysis.
  • Design, implement and deploy metabolomics analysis methods and workflows in close collaboration with the analytical scientists at the BIH Metabolomics Platform and their collaborators to ensure robust data quality and high quality outputs including good data workflow reporting and recording
  • Contribute to interdisciplinary biomedical projects: support high quality design of experiments; present and integrate analysis results into larger projects, including with other omics data; integrate results with other omics data; contribute to interpretation of results; write scientific papers
  • Provide bioinformatics and statistical support to the Metabolomics Platform of the BIH
  • To work on improving data reproducibility and contribute to automation of data management, data processing and visualization; select and benchmark new methods and tools
  • Develop innovative bioinformatics and data analysis approaches when standard methods are not adequate


  • PhD in Statistics, Physics, Engineering, Computer science, Bioinformatics, Biotechnology or in a related discipline. Work/research experience in MS data analysis is a plus. Knowledge of metabolomics datasets is a strong plus.
  • Highly numerate with a good understanding of both computational and statistical processes, good knowledge of data processing and analysis of mass-spectrometry data (high and low resolution instruments, MS and MSn including fragmentation analysis, liquid and gas chromatography mass spectrometry is a strong plus).
  • Ability to program software for omics data analysis. Expert knowledge of R and/or Python a strong plus. Additional experience of Matlab, Java and OpenMS a plus.
  • Sound experience in statistical analysis of high dimensional data required, experience with classification and machine learning methods is a plus.
  • Demonstrated ability to conduct well documented and reproducible data analysis required, experience in data visualization, integration and interpretation is a strong plus.
  • Demonstrated ability to troubleshoot problems (bug fixing) with academic/open source software is required.
  • In depth knowledge of statistical analysis of omics data, experience of functional analyses, preferably in metabolomics, including multivariate analysis and hierarchical clustering. Experience in mixed modelling and/or advanced machine learning a strong plus.

We offer:

  • A collaborative research environment that encourages and supports scientific curiosity, innovation, and development of its team members,
  • Remuneration according to E13 TVöD VKA-K: The grouping takes into consideration the qualifications and the personal circumstances of the candidate ,
  • A full-time position (39h/week)
  • Appointment duration: initially for 2 years,
  • Family - friendly, flexible working hours

We live diversity!

BIH strongly encourages qualified women to apply. Severely disabled applicants and those with equal status will be given preferential consideration in cases of equal suitability.
Please submit your application via the BIH Career portal by 17.12.2021, quoting the reference number BIH-90.21. We are looking forward to hear from you!
You can find more information about BIH at