(Senior) Scientist, Computational Neuroscience
Core
Building scalable computational pipelines for biophysical modeling of neurons and neural populations, and applying machine learning to large-scale neural datasets.
Role type
Senior Scientist, Computational Neuroscience
Builds
End-to-end computational pipelines for biophysical modeling and bio-realistic neural networks
Domain
Neuroscience + Machine Learning
Deliverable
production ML models
Required skills
computational modeling of neural systems, machine learning, statistical inference, Python, scientific computing libraries (NumPy, SciPy, Pandas), ML frameworks (PyTorch, TensorFlow)
Preferred skills
experience in high-ambiguity R&D environments, building novel methods from first principles
Technologies
Python, NumPy, SciPy, Pandas, PyTorch, TensorFlow
Responsibilities
Develop end-to-end computational pipelines for biophysical modeling; Implement ML and statistical inference methods to analyze neural recordings; Shape technical roadmap by proposing and evaluating modeling approaches
Seniority
Senior, hands-on IC