Computational Neuroscience Intern - Data Analysis and Modeling

• Process and analyze neurophysiology data such as electrophysiology, calcium imaging, or spike train recordings
• Analyze connectomics datasets, including neuronal connectivity graphs and anatomical reconstructions
• Develop computational models of neural circuits and network dynamics
• Implement data analysis pipelines and visualization tools

This internship contributes to advancing our understanding of neural circuits and brain function, which can lead to breakthroughs in neuroscience and AI, ultimately steering science and technology toward an abundant future.

• Experience programming in Python and Matlab
• Familiarity with scientific computing libraries such as NumPy, SciPy, pandas, PyTorch, TensorFlow, or similar tools
• Basic understanding of neuroscience concepts, neural systems, or computational modeling
• Experience working with data analysis, statistics, or machine learning workflows

Competitive compensation package commensurate with experience and location. The posted wage range is based on location in the Bay Area. Hybrid work environment at our office in Emeryville, CA.