Senior Statistical Geneticist

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The mission of the Berlin Institute of Health (BIH) is medical translation: transferring biomedical research find-ings 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 per-cent 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.

We are inviting applications from outstanding postdoctoral researchers as part of the newly established Com-putational Medicine group at the Berlin Institute of Health at Charité ( for the position of

Senior Statistical Geneticist full-time (39h/week)

The aim of this role is to characterise the genetic architecture of diverse aspects of human metabolism using large-scale population-based and patient data and to translate these discoveries into strategies to improve health. The group is one of the world leaders in the genetic discovery of molecular traits, such as metabolites and proteins, which we use to identify shared genetic regulation with common, complex diseases with the aim to discover new drug targets, indications and disease mechanisms.

The BIH group is affiliated with the MRC Epidemiology at the University of Cambridge, UK, and is building links to the Wellcome Centre for Human Genetics and Big Data Institute as part of the Berlin University Alliance's international strategic partnership with the University of Oxford, UK. Close working with and visits to these in-stitutions are encouraged as a part of this role. The posts are initially limited to three years, but extension is intended contingent on Funding.

Your responsibilities:

The successful candidate will lead high profile sci-entific publications, represent the team in national and international collaborations and meetings, and contribute to the supervision of junior re-searchers.
  • Development of computational workflows for processing and analysis of large-scale se-quencing efforts from the UK Biobank
  • Management of large phenotypic datasets for genetic analysis
  • Development of prioritization strategies and statistical workflows for rare variant analysis
  • Preparation of high impact scientific publica-tions
  • Integration of different types of ‘omic’ data for causal inference and prioritization of drug targets and disease mechanisms
  • Training and supervision of Master and PhD students within the group in statistical genetics


  • PhD in statistical genomics, genetic epidemiol-ogy, or a closely related discipline, with a proven track record to write and publish scien-tific articles
  • Extensive, demonstrable experience in several of the following areas: 1) Generation and/or analysis of high-throughput genetic and ge-nomic data, 2) Genome-scale association anal-yses in GWAS and sequence data, 3) High-level expertise in computational genetics
  • Extensive, demonstrable experience with principal programming and scripting languages (e.g. R or Python)
  •  Aptitude for biological inference and clinical translation
  • Desirable, useful skills and experience include all of the following: metabolomic and proteo-mic data and technologies, Bayesian statistics, including fine-mapping, Mendelian randomisa-tion, polygenic risk scores and cloud computing services
  • Speaking and writing in English fluently

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 (50.000-72.000€gross p.a.)
    The grouping takes into consideration the qualifications and the personal circumstances of the candidate
  • 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 as one (!) pdf document by email to by 29.10.2021, quoting the reference number BIH- 61.21.

You can find more information about us and BIH at .