Computational Neuroscience Intern Data Analysis and Modeling
Jobtailor · Emeryville, California, USA
- Internship
About the role
Responsibilities
- 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
- Collaborate with researchers to interpret experimental data and generate hypotheses
- Contribute to documentation, reproducible workflows, and scientific reports
Requirements
- Experience programming in Python and Matlab
- Familiarity with scientific computing libraries such as Num Py, Sci Py, pandas, PyTorch, Tensor Flow, or similar tools
- Basic understanding of neuroscience concepts, neural systems, or computational modeling
- Experience working with data analysis, statistics, or machine learning workflows
- Ability to work independently and communicate technical findings clearly
- Experience with connectomics or neurophysiology datasets
- Knowledge of computational neuroscience frameworks or simulators (e.g., NEST, Brian, NEURON)
- Experience with machine learning or dynamical systems modeling
- C++ programming experience is a strong bonus
- Familiarity with Linux, Git, and high-performance computing environments
Hard Skills
- Python
- Matlab
- Num Py
- Sci Py
- pandas
- Py Torch
- Tensor Flow
- C++
- data analysis
- machine learning
Soft Skills
- independent work
- communication
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