Scientist I - ML/AI Algorithms for Multimodal Foundational Models

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 to design modern machine learning methods to integrate multimodal data and describe disease trajectories and contribute to the mechanistic understanding of Alzheimers disease pathology. The successful candidate will have a strong background in computational biology, and experience developing deep generative models and Bayesian algorithms. In addition, the ideal candidate will either have experience in causal inference or implementing and training computer vision architectures (ViT, among other recent ones) and LLMs. 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, pathological, 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. Responsibilities • Develop modern machine learning algorithms to model disease progression from multimodal data (omics, neuropathology, MRI, genetic information, clinical histories) • Develop Bayesian statistical models of neurodegenerative progression • Evaluate models that can harmonize multiple cohort information • Develop causal models of disease progression • Stay at the forefront of advances in AI for multimodal disease progression modeling • Participate in a highly interactive and multidisciplinary environment • Publish/present findings in peer-reviewed journals/scientific conferences 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 Bayesian modeling and inference • Experience developing causal models • 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 current ML models such as score-based diffusion models, multimodal data fusion transformer architectures, or state-space models. • Proficiency with cloud computing and with on-prem clusters • Strong publication track record • 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. 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. Apply tot his job