ML/AI Scientist – Multimodal Brain Data (Hybrid)

Allen Institute; Washington (District of Columbia); Hybrid; USD 87,000 - 107,000; Full time

Benefits offered by this job

Relocation assistance

Visa sponsorship

Benefits package

Job summary

The Allen Institute seeks a Scientist I to design modern machine learning methods that integrate multimodal data and describe disease trajectories, contributing to Alzheimer’s pathology understanding. This role emphasizes causal inference or gene regulation in disease and a track record of solving complex problems.

We value collaboration in a highly interactive environment and expect publication in peer‑reviewed journals.

Qualifications

• Ph.D. in a relevant field or equivalent experience as stated.
• Experience with recent Deep Learning architectures and foundational models.
• Experience with Bayesian modeling and inference.
• Experience developing causal models.

Responsibilities

• Develop modern ML algorithms to model disease progression from multimodal data.
• Develop Bayesian statistical models of neurodegenerative progression.
• Evaluate models to harmonize multiple cohort information.
• Develop causal models of disease progression.
• Stay at the forefront of AI advances for multimodal disease modeling.
• Publish and present findings in peer‑reviewed venues.

Skills

Deep learning architectures

Bayesian inference

Causal modeling

Multimodal data understanding

Education

Ph.D. in Computer Science, Applied Math, Engineering, Computational Neuroscience, Computational Biology, or related field

Tools

Cloud computing

On-prem clusters

Job description

The Allen Institute seeks a Scientist I to design modern machine learning methods that integrate multimodal data and describe disease trajectories, contributing to Alzheimer’s pathology understanding. This role emphasizes causal inference or gene regulation in disease and a track record of solving complex problems.

We value collaboration in a highly interactive environment and expect publication in peer‑reviewed journals.