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
3 Postdoctoral Researchers – Multiomics/Bioinformatics/Health Informatics (f/m/d) in full-time (39,00/week)
We are seeking to recruit 3 postdoctoral researchers to join the Computational Medicine team at the Berlin Institute of Health. This is a broad search and we will consider candidates with varying levels of experience and interest in different areas, ranging from bioinformatics and health informatics to functional, statistical, computational and clinical genomics and multiomics.
We offer a highly supportive, international work environment with outstanding opportunities for high impact publications, career development, international collaborations, project leadership, training, and conference participation/presentation. We are situated in the recently opened Rahel Hirsch Centre at Campus Mitte in Berlin with English as the working language. We expect scientific drive, ambition, team spirit and strong computational skills.
What you can expect:
Depending on the research area, responsibilities include the following (not all may apply):
Contributing to the group's research strategy for molecular precision healthcare through the use of ancestrally diverse biobank-scale datasets, including analysis and integration of multiomic data and genetically anchored causal inference techniques
Curating and harmonizing 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 prioritisation methods
Development and implementation of interactive web application to disseminate results from genome-scale or multiomic studies
Developing bioinformatic workflows that integrate population-scale genomics research with single cell experiments, to identify disease relevant cell types and states
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 call 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 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
Very easily accessible and attractive workplace at Rahel-Hirsch-Center for Translational Medicine, Luisenstr. 65, 10117 Berlin
Bewerten
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Vielen Dank für die Bewertung!
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