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 Software Engineer to join our interdisciplinary team. The ideal candidate will bridge the gap between software engineering and electro-physiology 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 detection, sorting, and feature extraction algorithm

• 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

• C++ - we aim to write maintainable and fast code to provide data visualizations in real time
• Qt - we embrace Qt for all our user interfaces
• Python - our analysis algorithms are relying on the Python data science stack
• Linux and bash
• CMake, OpenGL, boost, hdf5, ... and more

Your profile

• Background in computational neuroscience or electrophysiology, with a solid understanding of neural signal processing

• Knowledge of spike sorting techniques (e.g., 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++

• 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, letter of recommendation and degrees including transcripts) by email at Write an email.