Postdoc position in iPSC-​based modeling of human neurodevelopmental disorders

Updated: over 1 year ago
Job Type: FullTime
Deadline: 30 Sep 2022

The BioEngineering Laboratory at the Department of Biosystems of ETH Zurich in Basel is inviting applications for a 2-year postdoc position for projects at the intersection of human cellular modelling, large-scale electrophysiology, gene therapy and multi-modal data analysis. You will work at the ETH Department of Biosystems Science and Engineering (BSSE) and closely collaborate with groups at the Roche Institute for Translational Bioengineering (ITB), the Roche Innovation Center (pRED) as well as at MaxWell Biosystems . The preferred starting date is October 2022; the exact starting date can be negotiated.

Human iPSC-derived cellular models are transforming our ability to probe the mechanisms and pathogenic drivers of neurodevelopmental diseases. As it is now possible to generate stem-cell-derived neural cells in a highly reproducible and scalable manner from any healthy/diseased individual, there are realistic prospects for progress in our understanding of the specific pathogenetic mechanisms underlying neurodevelopmental diseases and the development of personalized treatments.


We will characterize 2D and 3D iPSC-derived

human cellular models of Rett and dup15q syndrome using high-throughput

large-scale extracellular electrophysiology (high-density microelectrode

arrays), patch-clamping and single-cell genomic methods – and attempt

phenotype rescues using pharmacological and gene-therapeutic

interventions.

The Postdoc will collaborate and lead activities in a highly interdisciplinary project that aims at gaining mechanistic insights into neurodevelopmental disorders using a comprehensive multi-modal description of human iPSC-derived human cellular models in healthy and diseased states.

The main activities and responsibilities will include:

  • generation and maintenance of in vitro human cellular models
  • electrophysiological and optical functional characterization measurements as well as analysis of the acquired data
  • treatment interventions using pharmacological and genetic approaches
  • guidance and supervision of practical work of other team members (PhD students).


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