Ph.D. Student (d/f/m) in 'Genetically-informed drug repurposing'
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. Since 2021 the BIH has been integrated into Charité as its so-called third pillar.
For the Research Group Computational Medicine starting from July 1st 2024 limited until June 30th 2027 (3 years) we are looking for a
This role will be part of a prestigious ERC Starting Grant - 'GenDrug' - funded by the European Union. The successful candidate will lead the implementation of genetic and subsequent causal inference studies to systematically identify already approved medications that can be explored to treat common but understudied diseases. The post is initially limited to three years, but extension is intended contingent on funding. The BIH group is affiliated with the Precision Healthcare University Research Institute at the Queen Mary University of London, UK, to empower ethnic diversity in research. Close working with and visits to this institution are encouraged as a part of this role. We are a curiosity-driven, competitive international team of diverse researchers, in which the candidate is expected to lead high profile scientific publications, represent the team in national and international collaborations, and contribute to the overall research efforts of the group.
For the Research Group Computational Medicine starting from July 1st 2024 limited until June 30th 2027 (3 years) we are looking for a
Ph.D. Student (d/f/m) in 'Genetically-informed drug repurposing'
in part-time (25,35h/week)This role will be part of a prestigious ERC Starting Grant - 'GenDrug' - funded by the European Union. The successful candidate will lead the implementation of genetic and subsequent causal inference studies to systematically identify already approved medications that can be explored to treat common but understudied diseases. The post is initially limited to three years, but extension is intended contingent on funding. The BIH group is affiliated with the Precision Healthcare University Research Institute at the Queen Mary University of London, UK, to empower ethnic diversity in research. Close working with and visits to this institution are encouraged as a part of this role. We are a curiosity-driven, competitive international team of diverse researchers, in which the candidate is expected to lead high profile scientific publications, represent the team in national and international collaborations, and contribute to the overall research efforts of the group.
What you can expect:
- Integration of different types of 'omic' data for causal interference and prioritization of existing drug~disease pairs for repurposing opportunities
- Implementation of Mendelian randomization analyses and network propagation techniques to identify valid instruments for approved drugs
- Performing genome-wide association studies on large-scale biobank data
- Literature review to understand the state-of-the-art analysis techniques and identify under-researched diseases with suspected genetic underpinnings
- Preparation of scientific publications
- Supporting group research efforts by contributing to documentation, data pipelines, tool building, and training of other students within the group
What you bring along:
- Completed scientific university degree (Master, Diploma or comparable) in data science, epidemiology, genetics, bioinformatics, or a closely related discipline with robust statistical methods training
- Experience and knowledge in several of the following areas: 1) Causal inference 2) Genome-scale association analyses using whole-genome or whole-exome sequencing data, 3) Mendelian Randomization, or 4) machine learning and AI techniques
- Extensive, demonstrable experience with principal programming languages in HPC or cloud environments (e.g. R or Python)
- Aptitude for biological inference and clinical translation
- Desirable, useful skills and experience: Mendelian randomization/instrumental variable analysis, Bayesian statistics, drug development, cloud computing services, electronic health record linkage
- Speaking and writing in English fluently
What we offer you:
- A varied job in a forward-looking research institute
- Remuneration up to TVöD VKA-K E13, taking into account personal requirements
- Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits)
- Flexible working hours and the option of working remote
- 30 vacation days per year (with a five-day week)
- Various support offers to balance work and family life (childcare, cooperation with voiio)
- Very good training and further education opportunities
- Mobile citizens' office on site
- Corporate benefits (travel, leisure, shopping, etc.), Charité Gympass, bicycle leasing or abonnement (JobRad, mylo)
- Very easily accessible and attractive workplace at Rahel Hirsch Center for Translational Medicine, Luisenstr. 65, 10117 Berlin
We live diversity!
We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability.
We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.
Please submit your application via the BIH career portal (https://jobs.bihealth.org/) with a letter of motivation, CV and relevant work and degree certificates by 05.07.2024, quoting the reference number BIH-55.24.
If you have any technical questions about the job posting, please contact Dr. Maik Pietzner (maik.pietzner@bih-charite.de).
Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information at: https://www.kmk.org/zab/central-office-for-foreign-education.html
Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.
You can find more information on the BIH at https://www.bihealth.org/en/
We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work.
Please submit your application via the BIH career portal (https://jobs.bihealth.org/) with a letter of motivation, CV and relevant work and degree certificates by 05.07.2024, quoting the reference number BIH-55.24.
If you have any technical questions about the job posting, please contact Dr. Maik Pietzner (maik.pietzner@bih-charite.de).
Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information at: https://www.kmk.org/zab/central-office-for-foreign-education.html
Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970.
You can find more information on the BIH at https://www.bihealth.org/en/
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