- New Haven, Connecticut, United States
- On-site
- Full-time · Principal
- $200K–$250K per year
Lead the development of Bexorg's human brain world models: generative models that predict how the molecular state of human brain tissue evolves over time, both in disease and in response to therapeutic intervention.
Compensation
Pay: $200,000 - $250,000
Responsibilities
- Lead the architecture, development, training, and validation of generative human brain world models
- Develop models that capture high-dimensional molecular trajectories across brain regions, cell types, pathways, and genes
- Work with proprietary human brain molecular omics datasets to improve model accuracy and predictive capabilities
- Partner with experimental teams to prioritize studies and data generation strategies
- Apply advanced machine learning methods including generative modeling, probabilistic learning, and high-dimensional dynamical systems
Requirements
- PhD in machine learning, computational biology, statistics, physics, or a related quantitative field
- Nice to have: large-scale self-supervised learning
- Nice to have: foundation models in scientific domains
- Nice to have: causal inference
- Nice to have: counterfactual reasoning