Scientist I - ML/AI Algorithms for Multimodal Foundational Models

Allen Institute for Brain Science•Seattle, WA

45d•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 mission of the Allen Institute for Brain Science is to accelerate the understanding of how the human brain works in health and disease. Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through the integration of experiments, modeling, and theory. 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 Research Scientist position to design modern machine learning methods to integrate multimodal data, model disease trajectories from imaging data sets (MRI, PET, fMRI) and contribute to the mechanistic understanding of Alzheimers disease pathology. The successful candidate will have a strong background in computational biology, computer science, or statistics, and experience developing and training computer vision machine learning models applied to disease data. Strong preference will be given to individuals with a track record of both individual and team contributions in solving complex research problems, and experience in cutting-edge computational methodologies applied to biological -omics, spatial, and/or clinical metadata. 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 Computer Science, Applied Math, Engineering, Computational Neuroscience, Computational Biology, or related field, or equivalent combination of degree and experience
Experience working with recent Deep Learning Architectures/Foundational Models
Experience with building, deploying and maintaining machine learning and foundational models
Proficiency with cloud computing (AWS, GCP or Azure) and with on-prem clusters
Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines
Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment

Nice To Haves

Experience with modeling disease heterogeneity
Experience building transformer-based foundational models
Working knowledge of AI/ML custom libraries, AI/ML execution platforms
Proven track record of achieving significant results as demonstrated by grants, fellowships, as well as first-authored publications at leading workshops or conferences such as CVPR/ICCV/ECCV, NeurIPS/ICLR, ICRA/RSS/CoRL/IROS, or SIGGRAPH
Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines in a highly collaborative environment
Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment

Responsibilities

Conduct research, design, develop and prototype novel algorithms to model disease progression from imaging data sets
Harmonize multiple imaging data modalities into a common analysis framework
Train large-scale models in multi-GPU environments efficiently
Stay at the forefront of advances in AI for computer vision
Participate in a highly interactive and multidisciplinary environment
Publish/present findings in peer-reviewed journals/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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