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This position is with a global leader in the life sciences industry, specializing in developing and providing cutting-edge molecular biology, genomics, and proteomics products. Stay updated on the latest advancements in genomics and proteomics to offer cutting-edge solutions, including new product launches or special access programs.
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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Utilize and apply SMT machine performance criteria; this could include component attrition, nozzle data, feeder data and vision error information and use this information to drive improvements within the machine performance.
$100,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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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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In this role, you'll have the opportunity to work on cutting-edge data visualization and analysis projects, enhancing our understanding of client interactions and improving business unit segmentation.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Deep understanding of industrial drug discovery including understanding the role of AI, machine learning and other computational approaches at scale to transform drug discovery. Strong exposure (either professionally or through personal curiosity and independent study) to advanced computational approaches (including AI and machine learning) is required.
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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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.
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Strong technical proficiency with marketing technology platforms and tools, such as CRM systems (e.g., Salesforce, HubSpot), marketing automation platforms (e.g., Pardot Marketo, Eloqua), CMS (e.g., Adobe AEM Edge), and analytics tools (e.g., Google Analytics, Adobe Analytics, SEMRush.
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The BIDMC Department of Pathology has launchednew strategic initiatives in cutting-edge Precision Diagnostics (includingcancer genomics, multiplex biomarker theranostics, and computational/digital pathology.
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Job Description & Requirements Registered Nurse – Emergency Room - Travel - (ER RN) StartDate: ASAP Available Shifts: 12 N Pay Rate: $2371.85 - $2613.88 This Emergency Room (ER) unit boasts the latest in cutting-edge technology as well as a compassionate and effective patient care model.
$2,613.88 a weekFull-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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Serving the vibrant tech hub of Boston and beyond, our specialization lies in placing top talent in permanent positions within cutting-edge fields such as AI, machine learning, hardware acceleration, quantum computing, silicon photonics, and other emerging technologies.
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cutting edge science machine learning jobs Title: data engineer in Waltham, MA
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