Beschreibung

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