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Supervise the development and deployment of Robotic Process Automation (RPA) and PowerApp solutions to digitally enhance operational efficiency. data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting.
$300,800 - $413,600 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Develop and enforce best practices for IT infrastructure management, including disaster recovery, data storage, network design, and cloud services. Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, establishing measures of performance, and human data collection in laboratory and field environments.
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Massachusetts General Hospital (MGH) Department of Neurology and Harvard Medical School (HMS) is seeking a signal processing and machine learning post-doctoral fellow for a full-time position in the Gupta Lab. The fellow will be applying diverse methodologies to uncover information in multimodal data collected from individuals with common and rare neurodegenerative diseases.
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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 yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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You are familiar with applied data science methods, feature engineering and machine learning algorithms. We are currently sourcing for a Lead Software Engineer, Machine Learning to work at Fidelity Investments.
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Experience with robotic liquid handlers from Hamilton, TECAN, Agilent Technologies, or Beckman Coulter. Develop and improve robust automated solutions utilizing Hamilton liquid handlers and other laboratory automation equipment designed to remove bottlenecks, increase capacity and reduce TAT in FMI's high throughput (24/7) Next Generation Sequencing laboratory.
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Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data. This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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For methods builders we also welcome links to github/bitbucket pages, and relevant bioinformatics/computational biology/machine learning community contributions. Extensive experience in handling and analyzing Next Generation Sequencing data.
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The Crown Is Yours As a Senior Machine Learning Engineer, you’ll leverage your expertise in data, machine learning, and software development, to create innovative solutions that drive our business forward.
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Create and implement mathematical models and machine learning algorithms for processing big data and extracting valuable insights. Familiarity with machine learning libraries such as scikit-learn, Tensorflow, PyTorch, Keras, etc.
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Provides help resources and training for administrative users, including instructional videos, how-to guides, and FAQs related to the usage of the learning management system, instructional technology, and documents relevant data about each external learning tool in a central repository.
$20 - $25 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Will process the formulary changes from the Tricare Beneficiary Advisory Panel minutes for USFHP members and coordinate medication coding updates in conjunction with Point 32 Health to ensure proper formulary drug coding through our PBM. Will be the liaison with clinician offices to facilitate approval of medications through prior authorizations.
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Develop, optimize, and maintain end-to-end machine learning pipelines, ensuring seamless integration and automation. You'll leverage your skills in data, machine learning, and software development to create groundbreaking solutions that drive our business forward.
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machine learning data management robotic process automation jobs Title: director in Cambridge, MA
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