Scientific Data Manager (f/m/d)
- published till: 2023-06-08
- Code: BIH-20.23
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 therapies 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 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. Since 2021 the BIH has been integrated into Charité as its so-called third pillar.
From now on until 31.03.2027 the BIH is looking for a
Data Scientist (f/m/d)
The BIH group is affiliated with the Queen Mary University London, UK, and is building links to the Welcome 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. This role will be part of a bilateral grant from the DZHK/BHF to collaboratively deliver new proteogenomic insights for cardiovascular diseases with the BHF CEU at the University of Cambridge. Close working with and visits to these institutions are encouraged as a part of this role. The post is initially limited to four years, but extension is intended contingent on funding. The successful candidate will lead high profile scientific publications, represent the team in national and international collaborations and meetings, and contribute to the supervision of junior researchers.
- Development of statistical workflows to integrate population-scale 'omics data sets to identify causal mediators for cardiometabolic diseases
- Development of 'omics-based prediction models for primary prevention and prognosis
- Preparation of scientific publications
- Management of large 'omics and endpoint, like outcome derivation from electronic healthrecords, datasets from various national and international studies
- Integration of different types of ‘omic’ data for prioritization of drug targets and disease mechanisms
- Training and supervision of Master or PhD students within the group in molecular epidemiology
- PhD in statistical genetics, molecular epidemiology, or a closely related discipline, with a proven track record to write and publish scientific articles
- Extensive, demonstrable experience in several of the following areas: 1) Generation and/or analysis of high-throughput genetic and genomic data, 2) integration of different 'omics layers at population-scale, 3) Development of a dynamic and sustainable data infrastructure to host complex, large-scale 'omics datasets for computational analysis
- 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
- 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-or part time position (39h/week)
- 30 vacation days per year (with a five-day week) and up to 24 flextime days per year
- Additional benefits customary in the public sector (e.g. annual bonus, VBL)
- Family - friendly, flexible working hours and mobile working option for better work-life balance
We live diversity!
Please submit your application via the BIH Career portal https://jobs.bihealth.org by 08.06.2023, quoting the reference number BIH-20.23. We are looking forward to hear from you!
Please note: If you have a foreign university degree, we would like to draw your attention to the fact that you may need to obtain a certificate from the ZAB. You can find more information at: https://www.kmk.org/zab/zentralstelle-fuer-auslaendisches-bildungswesen.html
The recruitment requirement for those born after 1970 is proof of measles immunity / measles vaccination.
Please contact Dr. Maik Pietzner (E-Mail: firstname.lastname@example.org) if you have any questions about this position.
You can find more information about BIH at