Scientist - Computation Dynamics

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Scientist I – Computation through Dynamics

The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.

The Allen Institute for Neural Dynamics is seeking a Scientist to lead efforts in building and analyzing neural network models for the development of hypotheses to guide analysis of neural and behavioral data. The ideal candidate will be team-oriented, have deep knowledge in neuroscience and statistics, and a strong interest in the neural implementation of computation. This position will require good communication with experimentalists leveraging state-of-the-art behavioral, computational, electrophysiological, and imaging methods, as well as molecular and transgenic resources.

The goal is to make fundamental discoveries about computation for continuous learning and flexible behaviors.
This position has an expected end date of April 30, 2027, based on project goals and funding.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

• Develop models that generate hypotheses for analyzing neural and behavioral data
• Develop and implement quantitative models and analyses of behavior and neural measurements
• Collaborate internally and externally to analyze data and develop hypotheses
• 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 our theory journal club

Note:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

• PhD in neuroscience, statistics, computer science, physics or related field; or equivalent combination of degree and experience
• Strong understanding of statistics and data science
• Ability to write reusable code in Python

• Experience with cloud computing infrastructures and task-driven or data-driven network models
• Demonstrated proficiency in conducting collaborative, multidisciplinary research
• Excellent written and verbal communication skills
• Strong publication record

May enter laboratory environment - possible exposure to chemical, biological, or other hazardous substances

Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment

• 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 has an expected end date of April 30, 2027
  , based on project goals and funding

Attendance and participation in national and international conferences required

• ** Please note, this opportunity offers relocation assistance**
• ** Please note, this opportunity may offer work visa sponsorship**

$86,150 - $106,650 *

* Final salary depends on…