Scientist - Neural Circuits Theory & Data-Driven Modeling

ClearCompany Talent Management Software; Northern (KY); Hybrid; USD 87,000 - 108,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Job summary

The Allen Institute for Brain Science in Seattle is seeking a Scientist to develop data-driven theories of how circuit structure shapes neural computation. You will work with brain-wide connectivity atlases and spike trains to distill computation from large-scale data and guide experiments across multiple brain regions.

Ideal candidates have a PhD in a quantitative field, strong ML skills, and a track record of collaborative, publishable research.

Qualifications

• PhD in neuroscience, physics, applied mathematics, statistics or related field; or equivalent combination of degree and experience.
• Demonstrated ability to build theories of collective dynamics in systems of many interacting elements.
• Strong scientific-computing skills and familiarity with modern machine learning.

Responsibilities

• Develop mechanistic models of many interacting neurons that can be fit directly to connectivity and neural activity data
• Derive coarse-grained descriptions of these models, reducing them to a small number of variables that reveal which features of connectivity govern neural dynamics
• Characterize the space of models consistent with a given dataset, and determine how connectivity constrains that space
• Develop theories for how different perturbations narrow that space, and use them to identify the most informative experiments to perform next
• Collaborate with experimentalists to turn theory into testable hypotheses about neural computation
• Present results to collaborators and the wider scientific community through talks, conferences, and publications

Skills

Mathematical modeling

Machine learning

Statistical physics

Education

PhD in neuroscience or related field

Tools

Python

TensorFlow

MATLAB

Job description

The Allen Institute for Brain Science in Seattle is seeking a Scientist to develop data-driven theories of how circuit structure shapes neural computation. You will work with brain-wide connectivity atlases and spike trains to distill computation from large-scale data and guide experiments across multiple brain regions.

Ideal candidates have a PhD in a quantitative field, strong ML skills, and a track record of collaborative, publishable research.