Berliner Institut für Gesundheitsforschung (BIG) - Berlin Institute of Health at Charité (BIH)
Berlin
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 we are looking for a
Postdoctoral Scientist (TVöD VKA-K E14) Human Genomics / Computational Genomics (f/m/d) in full-time (39,00 h/week)
We are seeking to recruit an emerging or established leader in Human Genomics to join the Computational Medicine team at the Berlin Institute of Health. This is a fantastic opportunity for an individual with a strong track-record and keen interest in establishing their own research portfolio and team. This is a broad search, and we will consider candidates with varying levels of experience and interest in different areas, ranging from functional, statistical, computational to clinical genomics. The successful candidate will have evidence of the application of cutting-edge genomic technologies and high-throughput screening in diverse populations to understand the genetic basis and mechanisms underlying human diseases. We are looking for a person with a strong translational focus, driven to identify new genetic targets for the prevention, diagnosis, or treatment of diverse diseases.
What you can expect:
Advancement of the group's research strategy for molecular precision healthcare through the use of ethnically diverse biobank-scale DNA sequencing resources, including whole exome and whole genome sequencing, in agreement with the leadership team
Development of the research group, supervision, development and management of junior staff and students
Mining of electronic health records to sample patient cohorts for genetic analysis
Implementation and development of statistical techniques to associate rare and structural variation in the human genome with health outcomes at scale, including the use of deep learning derived variant prioritization methods
Using genetically anchored causal inference methods to advance understanding of the genetic causes and mechanisms underlying diverse diseases and their subtypes in ethnically diverse populations
Developing bioinformatic workflows that integrate population-scale genomics research with single cell experiments, to identify disease relevant cell types and states
Opportunities to contribute to scientific projects within the research focus of the Computational Medicine group
What you bring along:
Ph.D. in genomics, statistical genomics, genetic epidemiology or a closely related discipline
Stage-appropriate track-record of high-impact research and publications in the field of genomics, multiomics, and/or single cell analysis
Evidence of successful grant funding and managerial experience, depending on career stage
Demonstrable experience in several of the following areas: 1) Generation and/or analysis of high-throughput genomic data, 2) Genome-scale association analyses using large-scale whole genome or whole exome sequencing data, 3) High level of proficiency in computational genomics, e.g. variant annotation
Aptitude for biological inference and clinical translation
Demonstrable extensive experience with principal programming languages in HPC or cloud environments
Desirable skills and experience: experience in integrating single cell ‘omics data, including sc‑RNAseq or sc‑ATACseq
High level of proficiency in the English language
What we offer you:
A varied job in a forward-looking research institute
Remuneration up to TVöD VKA-K E14, 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
Very easily accessible and attractive workplace at Rahel Hirsch Center (Luisenstr. 65, 10117 Berlin)
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