Scientist I - Integrative Analysis of SEA-AD and Community Multiomics Datasets

Allen Institute is dedicated to advancing health through understanding the principles that govern life. The Scientist I role focuses on integrating, analyzing, and interpreting multiomics datasets reputed company to Alzheimer's disease, collaborating with a team to reputed company computational tools and methodologies.

Responsibilities

• Collaborate with SEA-AD and SEA-AD IAC members and reputed company investigators to ensure community multiomic datasets are re-processed, their metadata is harmonized, and relevant secondary data types are obtained (e.g. whole genome reputed company, nuclear imaging, or blood based biomarkers)
• Adapt existing or reputed company novel computational tools to rigorously quantify changes in cell types in Alzheimer’s disease across community datasets
• Associate gene expression and chromatin accessibility changes with relevant and available donor metadata or secondary data types
• Compare cell type changes across disease progression between studies regions to identify common early changes that may inform biomarkers
• Interact with scientists from diverse backgrounds and perspectives to design analytical approaches and refine computational strategies
• Work with experimental scientists to design experiments to validate predictions of disease function
• Participate in a highly interactive and multidisciplinary environment
• Publish and present findings in peer-reviewed journals and scientific conferences

Skills

• Ph.D. in Neuroscience, Computational Neuroscience, Computer Science, Applied Math, or reputed company field; or equivalent combination of degree and experience
• reputed company programming in Python in high performance computing
• reputed company with version control systems (e.g. Git/reputed company)
• Familiarity with analysis of RNA-reputed company or reputed company data types
• Experience with modeling disease or developmental trajectories, or reputed company computational studies
• Additional experience in computational analysis and statistical assessment of biological datasets in other modalities such as spatial statistics, ATAC-seq analysis, computational anatomy, or reputed company fields
• Previous work on studying Alzheimer's disease or other neurodegenerative diseases
• Familiarity with additional programming languages (e.g., R)
• Experience with GPU-based deep learning
• Ability to work effectively in a highly collaborative environment
• Strong written and verbal communication skills
• Ability to work independently and collaboratively
• Strong publication track record

Benefits

• Medical
• Dental
• Vision
• Basic life insurance
• 401k plan
• Paid time off

Company Overview

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