Scientist I – Computation through Dynamics

About the role

The neural dynamics accelerator at Allen Institute (a/ND) is focused on foundational neuroscience. We are interested in how the brain builds our understanding of the complex world to guide the flexible behaviors that address our biological needs. The answers will be in terms of the algorithms implemented by circuits interacting across the whole brain and body. We develop experimental and theoretical methods and employ a team-based approach for discovery neuroscience. Knowledge, data, models, and tools will be widely shared, in part to support the development of therapies for brain disorders.

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 for neural computation
• Present results internally, via talks and progress reports, and to the external community, via conferences and publications
• Engage deeply with current literature, including ~quarterly presentations in the theory journal club

Requirements

• Demonstrated proficiency in conducting collaborative, multidisciplinary research
• Strong understanding of statistics and data science
• Ability to write reusable code in Python

Qualifications

• PhD in neuroscience, statistics, computer science, physics or related field; or equivalent combination of degree and experience

Skills

• Experience with cloud computing infrastructure
• Excellent written and verbal communication skills
• Strong publication record

Benefits

• Medical, dental, vision, and basic life insurance
• Allen Institutes 401k plan
• Paid time off as outlined in the Allen Institutes Benefits Guide

Pay

Annualized Salary Range: $86,150 - $106,650 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable.

Schedule

This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

This position is full-time and of a limited duration, with an expected end date of February 1, 2030.

Travel

Attendance and participation in national and international conferences required

Additional Comments

Please note, this opportunity offers relocation assistance

Please note, this opportunity may offer work visa sponsorship