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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, and human data collection in laboratory and field environments.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
$99,900 - $166,500 a yearFull-timeExpandApply 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) Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
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Familiarity with machine learning algorithms and tools such as Naïve-Bayes, Decision Trees, Neural Networks, and TensorFlow. Ten years of professional programming experience with a MA/MS degree in software engineering or computer science or equivalent work and professional experience that is documented and can be demonstrated.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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At Phoenix Tailings, we have an open culture that values learning, and we are looking to grow the team with enthusiastic individuals who share our vision of sustainable mining. 2+ years experience in metallurgical engineering within metals production or related sector Proficiency in materials characterization tools such as Inductively Coupled Plasma (ICP), X-ray Diffraction (XRD), Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM/EDS.
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Manages clinical programming team specific to SDTM, metrics and dashboards, data cleaning, ad-hoc reporting, data review, data surveillance and data mining via strategic partnerships with preferred vendors.
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You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. 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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Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Understands, conducts, and documents appropriately Dialysis/Apheresis machine safety tests/alarm tests, equipment calibration, dialysate testing, machine safety tests, functional testing, and internal and external disinfection on all water & dialysis machines, and complies with the documentation/notification standards per FMS policies.
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Employ CBA data visualization and editing tools to aid in the efficiency of gap analysis in CBA development, generating Joint Capabilities Integration and Development Systems (JCIDS) products, and provide a persistent data model that will reduce the need to re-create data across multiple program documents, and will feed requirements documentation, allocation, and tracking tools such as Dynamic Object-Oriented Requirements System (DOORS.
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machine learning data mining engineering jobs Title: engineer data Company: Amazon Web Services Aws in Lexington, MA
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