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Scientist I – Neural Circuits Theory
Allen Institute. Develop mechanistic models of many interacting neurons fit directly to connectivity and neural activity data .
Posted 9/28/2026full-timeSeattle • Washington • United StatesMid-LevelSenior💰 $87,450 - $108,250 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing mechanistic models of neural dynamics and theories of collective dynamics, with strong scientific-computing skills and familiarity with machine learning. Proven ability to collaborate with experimentalists and communicate findings effectively through publications and presentations.
Highest-signal resume keywords
PhD In NeuroscienceScientific Computing SkillsModel DevelopmentCollaboration With ExperimentalistsMachine Learning Familiarity
ATS Keywords
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Hard Skills
Mechanistic ModelingData FittingTheoretical DevelopmentNeural Dynamics CharacterizationExperimental Data Analysis
Soft Skills
Excellent Communication SkillsCollaboration
Tools & Technologies
Large-Scale Connectivity AtlasesBrain-Wide RecordingsSpike TrainsLab Equipment
Industry Keywords
NeuroscienceCollective DynamicsBiological SystemsExperimental DataNational And International Conferences
About the role
Key responsibilities & impact- Develop mechanistic models of many interacting neurons fit directly to connectivity and neural activity data
- Derive coarse-grained descriptions of models to identify connectivity features governing neural dynamics
- Characterize models consistent with datasets and determine how connectivity constrains them
- Develop theories explaining how perturbations narrow the model space
- 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
- Use large-scale connectivity atlases, brain-wide recordings, spike trains, and targeted activity perturbations to study neural computation and flexible behavior
Requirements
What you’ll need- 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
- Familiarity with modern machine learning
- Deep interest in foundational questions in neuroscience or biological systems
- Experience building models constrained by or fit to experimental data
- Experience collaborating with experimentalists
- Excellent written and verbal communication skills
- Strong publication record
- Attendance and participation in national and international conferences required
- Ability to work onsite for the majority of working hours in Washington State
- Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment
Benefits
Comp & perks- Medical insurance
- Dental insurance
- Vision insurance
- Basic life insurance
- 401(k) plan
- Paid time off
- Relocation assistance
- Work visa sponsorship may be offered
- Reasonable accommodations for qualified individuals with disabilities