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