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AsteraAsteraEmeryville, CA

Computational Neuroscience Intern - Data Analysis and Modeling

Analyzes large-scale connectome and neurophysiology datasets, develops computational models of neural circuits, and implements data pipelines using Python/Matlab. Ideal for students in computational neuroscience or related fields with data analysis experience.

25 – 60/hr
HybridEntry levelData Science

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

Qualifications and Experience

  • 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
  • Ability to work independently and communicate technical findings clearly

Preferred Qualifications

  • 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

Skills

PythonMATLABNumPyScipypandasPyTorchTensorFlowNestBrianNeuronGitLinux

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