Scientist III – AI Scientist for Quantitative Neuropathy and ML Scalable Infrastructure

Develop scalable machine-learning methods and infrastructure for the Brain Health initiative. Integrate digital histology, spatial transcriptomics, MRI and clinical data to model brain-disease progression at cellular resolution. Responsibilities include foundation models, distributed training, robust data pipelines and open-source scientific tools. This grant-dependent role offers a hybrid arrangement in Seattle; remote work must take place within 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. Expertise in deep learning for biological or medical images, Bayesian inference, scalable data or training infrastructure, Python and PyTorch or JAX. Include a cover letter.