Scientist I – Modeling Structure in a Reconstructed Cortical Tissue

Location
Seattle, Washington State
Salary
Competitive Salary
Posted
December 21 2020
Position Type
Full Time
Organization Type
Non-Profit

Scientist I – Modeling Structure-Function Relation in a Reconstructed Cortical Tissue

Join us to analyze world-class experimental data and build the next generation of brain models!

The Allen Institute is seeking exceptional candidates for TWO BRAIN Initiative-funded positions of Scientist in our Seattle-based multidisciplinary organization. The Scientists will join the computational teams of Stefan Mihalas and Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits.

This project will take advantage of unprecedented experimental datasets from the Allen Institute: the in-vitro measured cell type properties (https://celltypes.brain-map.org/), statistical knowledge of their connections (https://portal.brain-map.org/explore/connectivity/synaptic-physiology) and large-scale recordings of their in-vivo activity (https://portal.brain-map.org/explore/circuits). These are complemented by a fantastic dataset of coupled structure-activity measurement at cell type level in one tissue (https://microns-explorer.org).

One of the Scientists will focus on integrating these datasets into the new versions of highly biologically realistic models of the mouse primary visual cortex (https://portal.brain-map.org/explore/models). The other will work to compare existing algorithms to efficiently explore the space of models linking structure to activity and potentially develop new algorithms, leveraging constraints imposed by data and by the computational function of the modeled circuits.

Required Education and Experience

  • PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields.
  • 0-2 years of post-doctoral experience.
  • Strong publication record.
  • Track record of scientific excellence and independent thinking.
  • Strong computational/data analysis skills and good programming ability in Python
  • Strong written and verbal communication skills

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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