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We are seeking a skilled Principal Software Engineer to join our dynamic team of experts in developing cutting-edge machine learning systems for real-world applications. As a Principal Software Engineer, you will be at the forefront of designing, implementing, and maintaining software that integrates advanced machine learning models into scalable, robust, and high-performance production systems.
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FL97 is seeking experienced, creative, and talented Machine Learning Researchers (LLMs) across Scientist, Senior Scientist, and Principal Scientist levels to join our team. The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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Coordinate key research and development teams within BCS to ensure steady process of transfer of advanced technology research (artificial intelligence, machine learning, and other) into core product development roadmaps to support transformation to higher value “decision support” solutions.
$262,150 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This position is key for achieving the mission of the Computational Antigen Design: pioneering, testing and implementing innovative cutting-edge biological science and novel Structural Biology/Machine Learning technology solutions and concepts towards antigen design.
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Should be competent with at least one numerically focused programming environment such as Python or Matlab using the native linear algebra, image processing, and machine learning libraries.
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Strong background in Mathematics with a focus on areas relevant to Machine Learning (Linear Algebra, Calculus, Statistics, and Probability Theory) We are looking for a researcher with a strong understanding of ML theory and who is skilled in developing novel deep-learning approaches to drug discovery and development.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Lead the design, development, and delivery of AI and Machine Learning solutions focused on NLP, ML and Robotic Process Automation, ensuring the adoption of cutting-edge techniques and technologies, using pertinent AWS, Google and other cloud technologies.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
$140,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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REQUIRED : Ph. D. in supply chain management, logistics, transportation, operations management, industrial engineering, operations research, computer science, information systems, business management, or related field; in-depth research knowledge/experience in one or more of the following: data-driven logistics/supply chain, supply chain analytics, statistical analysis and probability, and/or machine learning/artificial intelligence; publications.
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Experience of applying computational biology and machine learning to disease understanding through human cohort and RCT omics data, preferably in disease areas with relevance to Novo Nordisk R&ED strategy.
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Background in data processing, statistics, biostatistics, data modeling, machine learning, or AI approaches (R, SAS, Python, or similar) is desired but not required. a global research project funded by the Foundation for the National Institute of Health (FNIH) and the National Institute of Mental Health (NIMH) to generate tools that will help develop early-stage treatments for individuals at risk for schizophrenia.
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machine learning jobs Company: Vector Marketing in Lexington, MA
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