Scientist – Neural Population Analytics (Remote/Hybrid)

Allen Institute; Seattle (WA); Hybrid; USD 86,150 - 106,650; Full time

Benefits offered by this job

Medical, dental, vision, and life insurance

401k plan

Relocation assistance

Work visa sponsorship available

Job summary

Allen Institute in Seattle is seeking a Scientist to lead analysis of large-scale neural recordings. The candidate should have strong expertise in neuroscience and statistics, and be experienced in building reproducible analysis pipelines. The role supports research on brain functions and flexible behaviors, using methods across multiple disciplines.

This full-time position offers a hybrid work environment and competitive salary between $86,150 and $106,650.

Qualifications

• PhD in neuroscience, statistics, computer science, or equivalent.
• Demonstrated proficiency in collaborative, multidisciplinary research.
• Strong understanding of statistics and data science.
• Ability to write reusable code in Python.

Responsibilities

• Build and deploy reproducible analysis pipelines for datasets.
• Apply statistical approaches to extract structure from neural activity.
• Develop quantitative models and analyses of behavior and measurements.
• Collaborate to develop theory-guided hypotheses for neural computation.
• Present results internally and externally at conferences.

Skills

Neuroscience

Statistics

Data science

Python programming

Collaboration

Education

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

Tools

Cloud computing

Job description

Allen Institute in Seattle is seeking a Scientist to lead analysis of large-scale neural recordings. The candidate should have strong expertise in neuroscience and statistics, and be experienced in building reproducible analysis pipelines. The role supports research on brain functions and flexible behaviors, using methods across multiple disciplines.

This full-time position offers a hybrid work environment and competitive salary between $86,150 and $106,650.