Scientist III - AI Scientist for Quantitative Neuropathology

Develop machine-learning methods for quantitative neuropathology within the Brain Health initiative. Integrate histology, spatial molecular data, MRI and clinical information to investigate brain-disease mechanisms and progression. The role includes computer-vision models, multimodal learning, Bayesian and causal models, scientific collaboration and open publication of code and models. This grant-dependent position is based in Seattle with hybrid working restricted to Washington State. Annual salary: USD 129,950–162,450. Relocation assistance is offered and visa sponsorship may be available.

Relevant PhD or equivalent education and experience plus at least five years of postdoctoral or industry research. Deep-learning experience with biological or medical images, Bayesian inference, causal disease modelling, and Python with PyTorch or JAX. Include a cover letter.