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Position: Applied Scientist, Machine Learning
Institution: Pfizer Inc.
Location: Cambridge, Massachusetts, United States
Duties: The ideal candidate will create and maintain optimal data pipeline architectures, propose, develop, and assist in the deployment of data pipelines, including deep generative models, graph convolutional neural networks and transformer architectures, that help drive decision making for drug designers and bench scientists across all of Pfizer’s therapeutic areas and modalities as well as assemble large, complex data sets that meet functional/non-functional SMS business requirements. The candidate will also be encouraged to publish and present their work in reputed journals and conference/workshop venues
Requirements: BS in Computer Science, Statistics, Applied Mathematics, Computational Biology/Bioinformatics, Computational Chemistry/Cheminformatics, related technical discipline, or related practical experience; 2+ years' experience programming experience in Python; 2+ years' experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning; Applied experience with major ML algorithms in either of natural language processing, computer vision, and information retrieval (CNNs, transformers, etc.)
   
Text: Applied Scientist, Machine Learning The ideal candidate will create and maintain optimal data pipeline architectures, propose, develop, and assist in the deployment of data pipelines, including deep generative models, graph convolutional neural networks and transformer architectures, that help drive decision making for drug designers and bench scientists across all of Pfizer’s therapeutic areas and modalities as well as assemble large, complex data sets that meet functional/non-functional SMS business requirements. The candidate will also be encouraged to publish and present their work in reputed journals and conference/workshop venues BS in Computer Science, Statistics, Applied Mathematics, Computational Biology/Bioinformatics, Computational Chemistry/Cheminformatics, related technical discipline, or related practical experience; 2+ years' experience programming experience in Python; 2+ years' experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning; Applied experience with major ML algorithms in either of natural language processing, computer vision, and information retrieval (CNNs, transformers, etc.)
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