Contribute to clinical grade deep learning products by designing datasets, training models, and building end-to-end solutions for medical applications.
About the Role
Be a core contributor to clinical grade deep learning products
Architect key components of the deep learning platform
Train robust and interpretable deep learning models for impactful medical tasks
Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions
Build full stack deep learning solutions from research to deployment
Requirements
MS/PhD in Computer Science, Electrical Engineering, Bioinformatics, Statistics, Biomedical Data Science
1-2 first author research papers at top conferences or journals
Top Skills
Bioinformatics
Biomedical Data Science
Deep Learning
Statistics
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