Summary Artificial Intelligence and Computational Sciences: Biomedical Research.
The AI & Computational Sciences (AICS) is the dedicated AI team at Novartis Biomedical Research (BR) whose mission is to apply AI to accelerate discoveries of transformative medicines for patients worldwide. AICS is seeking highly motivated junior level AI engineers and researchers to help us in the journey. At AICS, you will take on a hands-on role at the intersection of AI, computer science, and biological and chemical sciences using extensive internal and external data for realistic applications. You will have the opportunity to be a part of the next wave of disease understanding and drug discovery, combining insights from a wealth of data modalities including diverse omics types like genomics, transcriptomics (such as single-cell RNA sequence data), proteomics, compound structures, compound activity, protein structures, measurements from cellular experiments and safety studies, histopathology, clinical imaging, and clinical readouts. You will be a part of a unique organization made up of accomplished scientists who are at the forefront of various AI disciplines and will benefit from on-the-job learning where there are gaps. Our primary hiring focus is in the following areas: Natural Language Processing (NLP) and Generative AI, and the use of AI in the field of medicinal chemistry, specifically design of biological medicinesHands-on role developing and implementing innovative AI methods (use of an AI model on a specific dataset for a specific purpose) under supervision as well as independently to deliver on highly visible projectsAdvanced development skills in Python and the ability to understand and internalizing AI models from published papers and repositoriesTrain, test, and evaluate AI models on realistic internal and external data, and present results in an organized manner for team evaluation and inputDevelop and deliver various biological and chemical insights and outcomes from applying AI models for broader communicationStay up to date in the latest developments of evolving AI methods through self-learning and using on-the-job opportunitiesUnderstand and manage run time requirements of AI models, visualizations, and cloud-based computation to increase efficiency and quality of AI approachesDevelop new AI models from scratch using TensorFlow or PyTorch, understanding and modifying learning objectives and training methods of the modelsEssential Requirement:
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