Scientist - Analysis of Alzheimers Disease Multiomics Data

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Scientist I – Analysis of Alzheimer’s Disease Multiomics Data – Human Cell Types

The mission of the Allen Institute is to understand the principles that govern life, and to advance health. Our creative and multi-dimensional teams focus on answering some of the biggest questions in bioscience. We accelerate foundational research, catalyze bold ideas, develop tools and models, and openly share our science to make a broad, transformational impact on the world.

The Seattle Alzheimer’s Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimer’s disease (AD). Leveraging advances in quantitative neuropathology and next‑generation single‑cell molecular profiling technologies we are generating large‑scale data sets from well‑characterized donors that span the spectrum of AD pathology to comprehensively map human brain cell types across aging and disease.

These data along with tools for their use are made freely and publicly available.

We seek to hire a Scientist to analyze and interpret these datasets, which will include heterogeneous donors spanning the variability seen in AD. The position will explore changes to cell types common across comorbidities, sexes, races, and more using quantitative measures of neuropathology and whole genome sequencing generated data from each donor. This position will leverage existing computational tools and develop novel pipelines and approaches to analyze and interpret these data.

This position will collaborate with a dynamic team of quantitative and experimental scientists to build a quantitative framework for how and how consistently cell types are impacted in AD, with a goal of identifying common signatures of early Alzheimer’s disease.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly.

We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal‑opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.

• 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 (e.g. structural imaging or blood biomarkers)
• Compare cell type changes across disease progression across axes of heterogeneity 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

Note:
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned.

• 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…