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Research Scientist in Epilepsy Mechanisms

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Paris, Île-de-France Institut Imagine Temps plein

Position Overview: Research Scientist in Epilepsy Mechanisms

The research team led by Dr. Edor Kabashi and Prof. Rima Nabbout at the Institut Imagine is seeking a dedicated research scientist to engage in innovative projects aimed at understanding the underlying mechanisms of epilepsy, with a particular emphasis on Developmental Epileptic Encephalopathies (DEEs).

The successful candidate will play a pivotal role in the Innov4-ePik initiative, which is supported by the National Research Agency as part of a significant investment program. This project aspires to establish a novel therapeutic framework for individuals suffering from drug-resistant epilepsy by collaborating with a consortium of academic and industrial partners.

Contextual Background

Epilepsy encompasses a diverse range of disorders characterized by the occurrence of seizures and associated co-morbidities. It affects approximately 1% of the global population, with a notably higher prevalence in infants and children, where around 80% of cases begin during early life. The impact of childhood epilepsy extends beyond medical concerns, significantly influencing social, psychological, and economic aspects, as well as neurodevelopmental outcomes and future autonomy. The Innov4-ePiK initiative aims to tackle these pressing issues by implementing transformative strategies to enhance the quality of life and clinical outcomes for patients with DEEs. This will be achieved through the identification of cutting-edge biomarkers derived from clinical, electrical, biological, and imaging data, in conjunction with in silico and in vivo models.

Research Objectives

The primary objective of this research is to explore the pathophysiological mechanisms associated with identified potassium channel mutations in DEEs utilizing in vitro and in vivo methodologies. The candidate will have the opportunity to investigate a variety of scientific inquiries through the use of zebrafish genetic models, patient-derived cell lines, and organoids, with the aim of translating novel genetic findings into potential therapeutic avenues. Our close collaboration with specialized technological platforms (including multi-omics, iPSC, imaging, electrophysiology, single-cell analysis, and bioinformatics) provides access to state-of-the-art tools for fundamental research, biomarker discovery, and the development of automated drug screening assays, ultimately leading to clinical applications.

Candidate Profile

The ideal candidate will possess:

  • A PhD in molecular biology, genetics, neuroscience, or a related discipline;
  • A strong publication record;
  • Practical experience in either hiPSC culture or animal experimentation (zebrafish);
  • Additional expertise in epilepsy research and microscopy is advantageous;
  • A collaborative mindset and effective problem-solving abilities;
  • Self-motivation and the capacity to work autonomously are essential;
  • Knowledge of French is not a prerequisite.

Contractual Details

This is a fixed-term contract for a duration of 2 years. During this period, the successful candidate will be encouraged to seek external postdoctoral fellowships to further advance the project.

About the Research Team

The team led by Dr. Edor Kabashi is committed to a comprehensive approach to translational research, encompassing everything from enhanced patient characterization and genetic marker identification to fundamental research aimed at pinpointing suitable therapeutic targets and developing clinical trials for novel treatments. This research is deeply patient-centered, leveraging extensive phenotyping and multidisciplinary expertise in clinical testing, supported by advanced platforms available at the Institut Imagine. Prof. Rima Nabbout, who oversees the Reference Center for Rare Epilepsies, coordinates the epilepsy research project, integrating clinical and fundamental research for a holistic approach. The center is internationally recognized for its contributions to the phenotypic classification of patients and the genetic analysis of large cohorts, leading to the discovery of novel genetic factors and the delineation of the natural history of DEEs through advanced analytical techniques.