Hybrid Scientist I – Integrative Analysis, SEA-AD, Community Multiomics Datasets

at Allen Institute

• Job title: Scientist I – Integrative Analysis, SEA-AD, Community Multiomics Datasets
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $92,250 - $114,100 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Seattle, United States

About the role

• Scientist integrating and analyzing multiomics datasets for Alzheimer's research at Allen Institute. Collaborating with experts to understand cellular changes in Alzheimer's across community datasets.

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 Alzheimers 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

Requirements

• 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 (preferred)
• 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 (preferred)
• Previous work on studying Alzheimers disease or other neurodegenerative diseases (preferred)
• Familiarity with additional programming languages (e.g., R) (preferred)
• Experience with GPU-based deep learning (preferred)
• 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, and basic life insurance
• 401k plan
• Paid time off