Hybrid ML/AI Scientist for Multimodal Genomics & Disease Modeling

Allen Institute; Seattle (WA); Hybrid; USD 86,500 - 106,500; Full time

Benefits offered by this job

Relocation assistance

401k plan

Medical, dental, vision insurance

Job summary

The Allen Institute in Seattle seeks a Research Scientist specializing in ML/AI algorithms for gene regulation. Candidates should hold a Ph.D. and have experience in computational biology, machine learning, and Bayesian modeling. The role involves developing algorithms to model disease progression and publishing findings in scientific journals. This position offers a hybrid work model, relocation assistance, and a competitive salary range of $86,500 - $106,500.

Qualifications

• Strong background in computational biology.
• Experience with recent Deep Learning Architectures.
• Experience developing causal models.

Responsibilities

• Develop machine learning algorithms to model disease progression.
• Develop Bayesian statistical models of neurodegenerative progression.
• Publish and present findings in peer-reviewed journals.

Skills

Machine Learning

Bayesian Modeling

Deep Learning Architectures

Causal Models

Cloud Computing

Education

Ph.D. in relevant field

Job description

The Allen Institute in Seattle seeks a Research Scientist specializing in ML/AI algorithms for gene regulation. Candidates should hold a Ph.D. and have experience in computational biology, machine learning, and Bayesian modeling. The role involves developing algorithms to model disease progression and publishing findings in scientific journals. This position offers a hybrid work model, relocation assistance, and a competitive salary range of $86,500 - $106,500.