Our mission at the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Our research goals include generating and analyzing large-scale anatomical imaging data from Alzheimer’s disease mouse models. We are seeking a Scientist to join the Neuroanatomy team and to help with image processing and data analysis related to our whole-brain projection mapping projects.
As a member of this team, the Scientist will perform computational analyses aimed at understanding the organization of whole brain connectivity patterns and pathology in aging and diseased brains. She/he should have experience working with voxel-based image data, solid programming skills, and a strong background in mathematics and statistics. The Scientist will also be responsible for generating data visualizations, establishing signal detection metrics for primary data, generating computational models, performing statistical analysis on large datasets, and assisting with analysis and visualization of single cell RNA sequencing data.
Develop software tools and methods to identify anatomical structures in image data.
Establish and implement objective metrics for the success of image registration and signal detection algorithms.
Build computational models for predicting and evaluating inter-region and cell type specific connectivity and pathology.
Perform graph theoretical and other computational analyses of whole brain connectivity data to describe network organization (e.g. hubs, modules, rich club organization).
Support primary analysis through data visualizations towards answering specific biological questions.
Follow good coding practices.
PhD in applied mathematics, computer science, computational neuroscience, or a related field
0-3 years working in a data analysis role performing scientific computing
Experience with relational databases (e.g. postgres, SQL)
Experience with scientific data visualization
Strong knowledge of mathematics especially in linear algebra, 3D transforms and statistics
Strong programming ability in Python (preferred) and/or R
Experience using machine learning algorithms for image processing
Strong publication record
Ability to work with fast timelines as part of a collaborative team.