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
- 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
- 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
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