If you are a data scientist, programmer, or engineer, with a keen interest in helping to understand the brain, consider joining our team Neuronal Circuits & Brain Dynamics at the Paris Brain Institute (ICM).

We study the principles of neuronal circuit organization and brain dynamics. 
Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity and communication between brain regions during behavior.

To achieve our goals, we perform large-scale recordings from thousands of neurons simultaneously using multimodal recordings, including electrophysiological or optical imaging approaches. We employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice to record and manipulate the brain activity during behavior.

Using this unprecedented data, we will be able to understand information flow in the brain in ways that would be unimaginable only a few years ago. However, the scale and complexity of this data provide major challenges and unique opportunities.

We are looking for computationally-orientated researchers to join our team as temporary or permanent staff members, to help us develop methods to interact and analyze our multi-dimensional neurophysiological and behavioral data, and to develop innovative analysis approaches and efficient processing pipelines, to accelerate the progress of our research on our path to understanding the brain.

As a data analyst in our group, you will interact closely with experimentalists and contribute crucially to the research.

Our team values diversity and welcomes researchers from all backgrounds and profiles.

Main responsibilities

• Organize data management pipeline
• Analyze neurophysiological and behavioral data
• Develop analysis methods and software tools to facilitate the analysis of multi-modal and multi-dimensional neurophysiological data
• Implement cutting-edge data science approaches (statistical, computational, and ML) for complex neuroscience problems
• Create robust and efficient data pipelines to extract, transform, and visualize data
• Develop, test, and implement scientific software (e.g., for reproducible analysis pipelines and data storage)
• Interact with experimentalists to design experiments and implement analyses
• Analyze current technologies, algorithms, models, and methods
• As part of your role, you will have the opportunity to collaborate with other teams, attend trainings, mentor students, have independent projects, and present at major relevant conferences (Cosyne, NeurIPS)