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.

Computational Neuroscientist / Electrophysiology Data Analysis Engineer Urgent