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