ML Scientist: Multimodal Genomics & Neurodegeneration

Allen Institute

Seattle (WA)

Hybrid

USD 87,000 - 107,000

Full time

7 days ago
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Benefits offered by this job

Relocation assistance
Visa sponsorship may be offered

Job summary

Allen Institute is seeking a Research Scientist to design modern machine learning methods for multimodal data integration to describe Alzheimer’s disease trajectories. The role focuses on developing deep generative and Bayesian models to advance mechanistic understanding of brain pathology.

Hybrid work arrangement in Washington state; relocation and visa sponsorship may be offered. You will collaborate across a multidisciplinary team and publish in peer-reviewed venues.

Qualifications

  • PhD in Computer Science, Applied Math, Engineering, Computational Neuroscience, Computational Biology, or related field, or equivalent combination of degree and experience.
  • Experience with recent Deep Learning Architectures/Foundational Models
  • Experience with Bayesian modeling and inference
  • Experience developing causal models

Responsibilities

  • Develop modern ML algorithms to model disease progression from multimodal data (omics, neuropathology, MRI, genetic information, clinical histories).
  • Develop Bayesian statistical models of neurodegenerative progression.
  • Evaluate models that can harmonize multiple cohort information.
  • Develop causal models of disease progression.
  • Stay at the forefront of advances in AI for multimodal disease progression modeling.
  • Publish/present findings in peer-reviewed journals/scientific conferences

Skills

Deep learning architectures
Bayesian modeling
Causal models

Education

PhD or equivalent in CS/Applied Math/Engineering/Computational Biology

Tools

Cloud computing
On-prem clusters

Job description

Allen Institute is seeking a Research Scientist to design modern machine learning methods for multimodal data integration to describe Alzheimer’s disease trajectories. The role focuses on developing deep generative and Bayesian models to advance mechanistic understanding of brain pathology.

Hybrid work arrangement in Washington state; relocation and visa sponsorship may be offered. You will collaborate across a multidisciplinary team and publish in peer-reviewed venues.

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