Computational Neuroscientist / Electrophysiology Data Analysis Engineer

You develop and improve data analysis pipelines for neural electrophysiology data, combining software engineering with computational neuroscience methods. Tasks - Develop and enhance pipelines for neural data analysis, including spike sorting and feature extraction - Integrate machine learning and advanced statistical techniques to improve data analysis accuracy - Collaborate with neuroscientists and electrophysiologists to solve data interpretation challenges - Develop APIs and tools to improve workflows for neural data exploration - Contribute ideas within an agile development process - Work in a multidisciplinary environment to understand and address user needs Profile - Background in computational neuroscience or electrophysiology - Hands-on experience analyzing multi-electrode array (MEA) recordings - Strong understanding of neural spike data, extracellular recordings and neural signal processing - Knowledge of spike sorting techniques and neural data analysis workflows is a plus - Good programming skills in Python, familiarity with C++ is a plus - Knowledge of Linux and Bash - Strong interpersonal and communication skills for interdisciplinary collaboration Offer - 3–6 months interim, then a permanent position Company Life science technology Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/computational-neuroscientist-electrophysiology-data-analysis-engineer-tah-kunfc/