AI Scientist, Multimodal Neuropathology & Scalable ML

ClearCompany Talent Management Software; Seattle (WA); Hybrid; USD 130.000 - 162.000; Vollzeit

Benefits dieser Stelle

Relocation assistance

Visa sponsorship

Zusammenfassung

The Allen Institute seeks a Scientist III in Scalable AI/ML for Neuropathology to develop, scale, and deploy state-of-the-art machine learning methods with the infrastructure to support multimodal data integration. You will work at cellular resolution to model disease progression and collaborate with experimental neuropathologists and software engineers.

The role sits at the intersection of computational biology, neuropathology, and ML engineering, with remote and onsite hybrid options in

Qualifikationen

• Ph.D. in Computer Science, Applied Mathematics, Computational Biology, Computational Neuroscience, Statistics, or related field; or equivalent combination of degree and experience
• 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 building and maintaining scalable data or training pipelines for large-scale ML workloads
• Proficiency in Python and ML frameworks including PyTorch or JAX, with strong software engineering practices (version control, testing, code review)

Aufgaben

• 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
• Design, build, and maintain scalable data pipelines that render diverse biological and neuropathological datasets, including gigapixel whole-slide images and spatial omics, ML-ready across cloud and on-premises GPU infrastructure
• Implement and optimize distributed training and inference workflows for foundation models, including multi-GPU and multi-node training, experiment tracking, and reproducible model versioning
• Apply Bayesian statistical and causal modeling approaches to describe and predict neurodegenerative disease trajectories
• 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, models, and reusable ML tooling

Kenntnisse

Python

PyTorch

JAX

Deep learning

Bayesian modeling

Distributed training

Computer vision

Cloud computing

Data pipelines

Ausbildung

Ph.D. in CS/Math/Biology/Neuroscience

5+ years postdoc or industry experience

Tools

Docker

Kubernetes

Slurm

Nextflow

Airflow

OME-Zarr

Git

Jobbeschreibung

The Allen Institute seeks a Scientist III in Scalable AI/ML for Neuropathology to develop, scale, and deploy state-of-the-art machine learning methods with the infrastructure to support multimodal data integration. You will work at cellular resolution to model disease progression and collaborate with experimental neuropathologists and software engineers.

The role sits at the intersection of computational biology, neuropathology, and ML engineering, with remote and onsite hybrid options in