Computational Neuroscientist / Electrophysiology Data Analysis Engineer

You develop and improve data analysis pipelines for neural electrophysiology data, combining software engineering with computational neuroscience methods.

Your 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

What you bring

• 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

Conditions

• Workload: 100 %
• Option of a permanent position after the assignment if both sides want it

What to expect

• 3–6 months interim, then a permanent position

Technologies

• Python
• C++
• Qt
• Linux
• Bash
• SpikeInterface
• Kilosort
• SpyKING CIRCUS
• Claude

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.