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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
$100,000 - $160,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analytic methods and technologies (artificial intelligence, machine learning/ deep learning/ neural networks, natural language processing, visualizations) The Associate Director, Clinical Data Analyst, has a critical role in the delivery of high-quality external data across Dyne's development pipeline by proactively identifying, measuring, and mitigating risk prior to acquisition of non-electronic data capture (EDC) data.
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STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.
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Certification/Specialized Skills: Git, Python/R, SQL; software SDLC and package/library development; shell/bash/command line scripting; big data stack (Spark/Hadoop); applied machine learning; statistical analysis; data visualization and reporting tools; AWS; ability to manipulate, clean, and combine large, complex disparate data sources; ability to read, learn, and evangelize algorithms and statistical methodologies from peer-reviewed literature.
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The team leverages its experience in the fields of signal processing, computer vision, computational linguistics, machine learning, artificial intelligence, communication systems, and other areas of electrical engineering and computer science to create impactful solutions.
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Guide method development, validation, and sample testing of bioanalytical methods to ensure generation of quality scientific data and meet program timelines. Strong background and successful track record in bioanalytical assay development, optimization, and troubleshooting with experience in: transcriptomics, pharmacogenomic analyses and interpretation, biomarkers (including pharmacodynamic biomarkers), flow cytometry, PK, ADA, and nAb methods.
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Experience with data ops and big data tools such as Spark, Spark Streaming, Presto/Trino, Kafka. The Fusion Analytics and Data Engineering team delivers models and insights to help Cybersecurity teams make faster, more informed decisions as we work to secure State Street’s digital footprint.
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Analytics:Oversee a federated system of analytics with experts in Institutional Research who use advanced data analysis approached and techniques to create strategic insight and business decision support.
Starting at $164,900 - $206,150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will have a deep understanding of the Sportsbook industry and a strategic mindset to lead the development and execution of our sports data acquisition strategy and roadmap.
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We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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Responsible for data reporting and management, collection of source documents, use and development of case report forms, adverse events reporting, filing, and archiving of study records, and resolution of data queries.
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Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Oversee in vivo and in vitro studies, including development and optimization of disease models, study design, data collection, and interpretation. Learn more about Flagship at Position Overview:We are seeking a highly skilled PhD level Principal Scientist with proven experience in immunology and preclinical research to join our team.
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Published scientific papers in domains in relation to Artificial Intelligence and/or BioInformatics. As a Research Engineer in Science, you'll be a part of the research department, The Research Engineer in Science must accomplish the following: Collaborate with other researchers and experts to develop machine-learning methods for problems in computational biology.
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