Neural Dynamics Scientist I - Large-Scale Data & Modeling

Allen Institute; Washington (District of Columbia); Hybrid; USD 86,000 - 107,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

401k plan

Job summary

The Allen Institute in Washington state seeks a Scientist I – Computation through Dynamics to lead analysis of large-scale neural datasets collected during flexible decision-making tasks.

Therole requires a PhD in a related field, strong statistics/data science skills, and Python programming; candidate should thrive in a collaborative, cross-disciplinary environment and contribute to theory-driven neural computation work.

Qualifications

• PhD or equivalent combination of degree and experience.
• Proven ability to conduct collaborative, multidisciplinary research.
• Strong understanding of statistics and data science; Python coding ability.

Responsibilities

• Build and deploy reproducible analysis pipelines for large-scale neural and behavioral datasets.
• Apply statistical approaches to extract structure from high-dimensional neural activity.
• Develop quantitative models and analyses of behavior and neural measurements.
• Collaborate internally and externally to develop theory-guided hypotheses.
• Present results via talks, progress reports, conferences and publications.
• Engage with current literature; participate in quarterly theory journal club.

Skills

Python

Statistics & data science

Collaborative research

Education

PhD in neuroscience, statistics, computer science, physics or related field

Job description

The Allen Institute in Washington state seeks a Scientist I – Computation through Dynamics to lead analysis of large-scale neural datasets collected during flexible decision-making tasks.

Therole requires a PhD in a related field, strong statistics/data science skills, and Python programming; candidate should thrive in a collaborative, cross-disciplinary environment and contribute to theory-driven neural computation work.