Computational Neuroscience Intern: Data Analysis & Modeling

Astera Institute; United States; Hybrid; USD 60,000 - 80,000; Full time

Job summary

Astera Institute is looking for a Computational Neuroscience Intern to analyze large-scale connectome and neurophysiology datasets. Ideal for students or early-career researchers, this hybrid position allows you to work on developing computational models of neural circuits while collaborating with researchers. Applicants should have programming skills in Python and Matlab, familiarity with scientific computing libraries like NumPy and PyTorch, and a background in neuroscience concepts. The position is based in Emeryville, CA, with a competitive compensation package.

Qualifications

• Experience programming in Python and Matlab.
• Familiarity with scientific computing libraries.
• Basic understanding of neuroscience concepts.
• Experience working with data analysis and machine learning workflows.
• Ability to work independently and communicate findings.

Responsibilities

• Process and analyze neurophysiology data.
• Analyze connectomics datasets.
• Develop computational models of neural circuits.
• Implement data analysis pipelines and tools.
• Collaborate with researchers and generate hypotheses.
• Contribute to documentation and scientific reports.

Skills

Programming in Python

Programming in Matlab

Data analysis

Statistical analysis

Machine learning workflows

Neural systems understanding

Communication of technical findings

Education

Degree in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, or Applied Mathematics

Tools

NumPy

SciPy

pandas

PyTorch

TensorFlow

C++

Linux

Git

Job description

Astera Institute is looking for a Computational Neuroscience Intern to analyze large-scale connectome and neurophysiology datasets. Ideal for students or early-career researchers, this hybrid position allows you to work on developing computational models of neural circuits while collaborating with researchers. Applicants should have programming skills in Python and Matlab, familiarity with scientific computing libraries like NumPy and PyTorch, and a background in neuroscience concepts. The position is based in Emeryville, CA, with a competitive compensation package.