Hybrid AI Scientist: Quantitative Neuropathology

ClearCompany Talent Management Software; Seattle (WA); Hybride; USD 130 000 - 162 000; Plein temps

Résumé du poste

The Allen Institute in Seattle seeks a Scientist III in AI/ML Neuropathology to develop and deploy state-of-the-art machine learning methods on multimodal neuropathology data, modeling disease progression at cellular resolution. You will collaborate across Brain Health Accelerator teams to translate research into impact.

Ideal candidates hold a PhD with 5+ years of postdoctoral or industrial experience, expertise in deep learning, Bayesian modeling, and Python with PyTorch or JAX, and enjoy open

Qualifications

• Ph.D. in Computer Science, Applied Mathematics, Computational Biology, Computational Neuroscience, Statistics, or related field.
• Minimum of 5 years of postdoctoral or industry research experience.
• Demonstrated ability to design, implement, and apply deep learning models to large-scale biological or medical image data.
• Experience with Bayesian modeling and probabilistic inference.
• Experience developing or applying causal models of disease or biological processes.
• Proficiency in Python and ML frameworks including PyTorch or JAX.

Responsabilités

• Develop and deploy large-scale ML models integrating multimodal neuropathological data, including digital histology, spatial transcriptomics, MRI, and clinical metadata, to characterize brain disease progression at cellular resolution
• Design and apply computer vision architectures (ViT and related models) and foundation models to quantitative neuropathology image analysis
• Build Bayesian statistical and causal models to describe and predict neurodegenerative disease trajectories
• Develop and maintain scalable data pipelines to render diverse biological and neuropathological datasets ML-ready across cloud and on-premises GPU infrastructure
• Collaborate with scientists, computational biologists, neuropathologists, and software engineers within the Allen Institute and with external partners to advance model development from research to scientific impact
• Promote open science through publication of peer-reviewed papers and release of open-source code and models

Connaissances

Deep learning

Bayesian modeling

Python

Formation

Ph.D. in Computer Science / related field

Outils

PyTorch

JAX

Description du poste

The Allen Institute in Seattle seeks a Scientist III in AI/ML Neuropathology to develop and deploy state-of-the-art machine learning methods on multimodal neuropathology data, modeling disease progression at cellular resolution. You will collaborate across Brain Health Accelerator teams to translate research into impact.

Ideal candidates hold a PhD with 5+ years of postdoctoral or industrial experience, expertise in deep learning, Bayesian modeling, and Python with PyTorch or JAX, and enjoy open