Scientist I - ML/AI algorithms for Multimodal Foundational Models for Gene Regulation

The Allen Institute is dedicated to understanding the principles of life and advancing health through innovative research. They are seeking a Scientist I to develop machine learning algorithms that integrate multimodal data to model disease progression, particularly in the context of Alzheimer's disease.

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

Skills

• 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
• 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

• Medical
• Dental
• Vision
• Basic life insurance
• 401k plan
• Paid time off

Company Overview

Company H1B Sponsorship