Computational Neuroscientist / Electrophysiology Data Analysis Engineer (100%)

At MaxWell Biosystems, we innovate the future of electrophysiology by developing cutting-edge technologies for neural activity recording. Our platform includes the software MaxLab Live, a custom-designed integrated circuit, and an FPGA-based data acquisition system that generates vast amounts of data when electrically imaging neu-ronal tissue. These data are processed, analyzed, and visualized in real-time.

We are seeking a highly motivated Computational Neuroscientist or Electrophysiology Data Analysis Engineer to join our interdisciplinary team. The ideal candidate will bridge the gap between software engineering and elec-trophysiology data analysis, helping us develop novel tools for neuroscience research and drug discovery.

Your Mission

• Develop and enhance robust pipelines for neural data analysis, including spike sorting and feature extraction algorithms
• Integrate cutting-edge methods, including machine learning or advanced statistical techniques, to improve the accuracy and efficiency of neural data analysis
• Collaborate with neuroscientists and electrophysiologists to identify key challenges in data interpretation and implement practical software solutions
• Contribute to the development of APIs and tools that simplify and enhance user workflows for neural data exploration
• Contribute your own ideas in our agile development process
• Work in a multidisciplinary environment, understand customer needs, continuously improve user experience

Our current Tech Stack

• Python – for our analysis algorithms we are relying on the Python data science stack
• C++ – for real time processing and visualization
• Qt – we embrace Qt for all our user interfaces
• Linux and bash

Your Profile

• Background in computational neuroscience or electrophysiology with 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 (e.g., SpikeInterface, Kilosort, SpyKING CIRCUS) and neural data analysis workflows is a strong plus
• Enjoy writing elegant and maintainable code
• Good programming skills in Python, familiarity with C++ is a plus
• Experience with LLM-assisted coding tools (e.g. Claude) is a plus.
• Knowledge in Linux, Bash and Python
• Great teammate, entrepreneurial mindset
• Keen to help create a positive, supportive, engaging team environment
• Strong interpersonal and communication skills to collaborate effectively with interdisciplinary teams

Why join us

• Be part of an international and multidisciplinary team at the forefront of neuroscience and technology
• Work on challenging projects that combine biology, computation, and engineering
• Help develop cutting-edge tools that advance neuroscience research and drug discovery
• Enjoy a collaborative, innovative, and supportive work environment

Jan Müller looks forward to receiving your application documents (cover letter, resume) by email at [email protected].