Scientist I - Analysis of Alzheimers Disease Multiomics Data

Allen Institute for Brain Science•Seattle, WA

46d•$92,250 - $114,100•Hybrid

About The Position

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 Alzheimers Disease Brain Cell Atlas (SEA-AD) consortium strives to achieve a deep molecular and cellular understanding of the early pathogenesis of Alzheimers 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 co-morbidities, 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 Alzheimers 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.

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

Nice To Haves

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 Alzheimers 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

Responsibilities

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 (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

Benefits

Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institutes Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institutes 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institutes benefits offering are located at the following link to the Benefits Guide:

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