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

Remote Full-time
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 The Allen Institute is dedicated to answering some of the biggest questions in bioscience and accelerating research worldwide. It was founded in 2003, and is headquartered in Seattle, Washington, USA, with a workforce of 501-1000 employees. Its website is Company H1B Sponsorship Allen Institute has a track record of offering H1B sponsorships, with 41 in 2025, 33 in 2024, 25 in 2023, 26 in 2022, 17 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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