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 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.
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
(
https://www.bihealth.org/en/re-search/research-groups/claudia-langenberg) 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 institutions 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 sequencing 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 publications
- Integration of different types of ‘omic’ data for causal inference and prioritization of drug targets and disease mechanisms
- Extensive, demonstrable experience with prin-cipal 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 finemapping,
Mendelian randomisa-tion, polygenic risk scores and cloud compu-ting services
- Speaking and writing in English fluently
We offer:
- A collaborative research environment that en-courages and supports scientific curiosity, innovation, and development of its team mem-bers
- 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
- Training and supervision of Master and PhD students within the group in statistical genet-ics
Requirements:
- 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
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 docu-ment by email to
claudia.langenberg@charite.de
by
29.10.2021, quoting the
reference number BIH-61.21.
You can find more information about us and BIH at
https://omicscience.org/
https://www.bihealth.org/en/research/research-groups/claudia-langenberg
https://www.bihealth.org/en/