Scientist I - ML/AI Foundational Models for Synthetic Enhancer Design
Posted Oct 6, 2026
Seattle, United States
Scientist I - ML/AI algorithms for Multimodal Foundational Models for Gene Regulation
Artificial Intelligence, Deep Learning, Molecular Genetics and full-time position at Allen Institute
Deadline not stated
Seattle, United States · Hybrid
About
Develop multimodal foundation-model methods for gene regulation using modern deep learning, Bayesian inference and causal modelling. Work at the interface of computational research and large-scale biological data.
Topics
- gene regulation
- modern deep learning
- Bayesian inference
- Causal Modelling
- computational research
- large-scale biological data
Requirements
PhD in computer science, applied mathematics, engineering, computational neuroscience or biology, or equivalent experience, with foundation-model, Bayesian and causal-modelling expertise.
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Source: Allen Institute