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Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design.
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Data Science Solutions: development and application of advanced analytical methods inclusive of Artificial Intelligence (e.g. Machine Learning, Deep Learning, NLP, Voice Recognition, RPA, etc.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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We are seeking an experienced Product Owner who is passionate about data, with a strong background in data analytics and Artificial Intelligence/Machine Learning (AI/ML) principles.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Principal Scientist to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Design. Learn more at Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist – Medical Image Analysis Location: Dallas, TX As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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This team focuses on creating Artificial Intelligence (AI)/Machine Learning (ML) solutions that can be delivered to production and developing advanced POCs. We are looking for a leader who is willing to take on new challenges and work in a highly collaborative environment with product owners, developers, engineers, and data scientists.
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The team includes AI/ML engineers, data engineers, architects, and software engineers delivering AI. The ideal candidate is passionate about technology and applying it to solve real world problems by leveraging advanced technologies, particularly in the cloud, including Generative AI (GenAI), natural language processing, machine learning and deep learning.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Operationalize machine learning and artificial intelligence analytics models on ML Ops platform. Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and data science to continuously enhance skills and knowledge.
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Reporting to the Senior Instructional Designer in the McGraw Center for Teaching and Learning, the Course Materials Manager is the primary liaison between Princeton University and the online bookstore, as well as the primary point of contact at Princeton for faculty, staff, and students for book adoption and purchasing.
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Strong experience in Professional Services categories and with outsourced supplier relationships Professional certifications (e.g., CPM, CPIM) 3 years Pharmaceutical Procurement experience Membership in Professional Associations, e.g., ISM Experience and/or knowledge of Artificial Intelligence use cases (nice to have) #LI-Hybrid If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway.
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Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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artificial intelligence machine learning jobs Title: data science in Princeton, NJ
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