Computational Geneticist/ Genome Sequencing Analyst (f/m/d)

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The mission of the Berlin Institute of Health at Charité (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 of its more than 400 scientists 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 unit 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 was founded in 2013 and 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 its third pillar; the MDC is privileged partner of the BIH.
The BIH Center for Digital Health, Computational Medicine is looking for a
Computational Geneticist/ Genome Sequencing Analyst (f/m/d)
Starting from the next possible date limited for 3 years 
We are inviting applications from researchers with strong computational skills to join our team at the Berlin Institute of Health at Charité ( Applicants at different levels of professional seniority (from doctoral students to senior postdoctoral scientists) are encouraged to apply. 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. We are 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. We have a keen interest in training the next generation of scientists that can translate (genomic) data into clinical actionable insights.

Your area of responsibility:

The BIH group is affiliated with the MRC Epidemiology Unit 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 institutions are encour-aged as a part of this role. The posts are initially limited to three years, but extension is intended contingent on funding. Depending on the skill set, doctoral students will be employed part-time but at least 65% FTE.

Depending on the professional level, the successful candidate will lead high profile scientific publications, represent the team in national and international col-laborations and meetings, and contribute to the super-vision of junior researchers.
  • Development of computational workflows for processing and analysis of large-scale sequencing efforts from the UK Biobank, in particular prioriti-zation strategies and statistical workflows for rare and structural variant analysis
  • Preparation of scientific publications
  • Management of large phenotypic datasets for genetic analysis, including outcome derivation from electronic health records
  • Integration of different types of ‘omic’ data for causal inference and prioritization of drug targets and disease mechanisms
  • Training and supervision of Master or PhD students within the group in statistical genetics

Your profile:

  • Scientific degree/PhD in statistical genomics, genetic epidemiology, or a closely related discipline, with a proven track record to write and publish scientific articles (postdocs only)
  • Extensive, demonstrable experience in several of the following areas: 1) Generation and/or analysis of high-throughput genetic and genomic data, 2) Genome-scale association analyses using whole-genome or whole-exome sequencing data, 3) High-level expertise in computational genetics, e.g, variant annotation
  • 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 proteomic data and technologies, Bayesian statistics, including fine-mapping, Mendelian randomisation, cloud computing services, electronic health record linkage
  • Speaking and writing in English fluently

We offer:

  • A varied job in a forward-looking research institute,
  • A temporary full-time position (39 hours/week); doctoral students will be employed part-time but at least 65%
  • Remuneration up to E13 TVöD VKA-K: The grouping takes into consideration the qualifications and the personal circumstances of the candidate
  • Additional benefits customary in the public sector (including annual bonus, VBL)
  • 30 vacation days per year (with a five-day week) and up to 24 floating days per year.
  • Family-friendly, flexible working hours for better work-life balance

We live diversity!

BIH strongly encourages qualified women to apply. Applications from people with an immigrant background who meet the hiring requirements are expressly encouraged. 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 until the 02.08.2022 quoting the reference number BIH-80.22. We are looking forward to hear from you!

If you have any questions, please contact Dr. Maik Pietzner (e-mail: maik.pietzner(at)

You can find more information about BIH at