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 related to Alzheimer's disease, collaborating with a team to develop computational tools and methodologies.
Responsibilities
- Collaborate with SEA-AD and SEA-AD IAC members and outside investigators to ensure community multiomic datasets are re-processed, their metadata is harmonized, and relevant secondary data types are obtained (e.g. whole genome sequencing, nuclear imaging, or blood based biomarkers)
- Adapt existing or develop 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 related field; or equivalent combination of degree and experience
- Fluency programming in Python in high performance computing
- Fluency with version control systems (e.g. Git/Github)
- Familiarity with analysis of RNA-sequencing or related data types
- Experience with modeling disease or developmental trajectories, or related 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 related 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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