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Experience in assessing and implementing new data tools to enhance the machine learning stack. We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer.
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We are growing a team of people from multiple disciplines who love solving complex problems with data and are excited by the prospect of creating the brains behind Iris. As a Machine Learning Engineer, you will be responsible for building the infrastructure and implementing the algorithms that make Iris smart.
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As a member of Novartis, the successful candidate will participate in a global community with extensive know-how and resources in data analysis, data engineering, machine learning, experimental techniques and resources to test biomedical hypotheses derived from computed models.
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Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required. You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Rope access experience or an interest in learning rope access techniques (SPRAT, IRATA). The preferred candidate will have a structural engineering background, knowledge of MicroStation, AutoCAD, and experience with structural engineering design drawings, specifications, and cost estimates.
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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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Experience with data analysis tools (JMP, Minitab) and data visualization tools (Tableau, Power BI, SQL, etc. 5+ years of technical skills, preferably experience in manufacturing engineering roles for complex electro-mechanical product industrialization at scale, including machined, sheet metal, injection molded, PCBA, linear motors, LCD, cables, and plastic components.
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Apply cutting-edge generative AI, machine learning and molecular modeling techniques to help identify novel binders and/or enhance the properties of biologics-based drugs, including target engagement, developability, immunogenicity, and protease specificity.
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Responsibilities Learning Management SystemServes as NPCS department administrator for the HealthStream Learning Management System, accountable for user experience and answering tickets submitted by users requiring help with the platform.
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Proficiency in data analysis tools and techniques (e.g., SQL, Excel, data visualization tools). Possesses a strong understanding of Quality engineering tools (8D RCCA, Statistical Process Controls, Lean Six Sigma, DoE) along with relevant industry standards and their application to drive execution excellence.
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Develop and implement a crucial communications strategy and establish a cadence of communication that improves the transparency and perception of 1910 as a pioneer in biology discovery, drug discovery & development and machine learning, by highlighting our science, milestones, and the 1910 team.
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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.
$166,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Oversee the development of study-specific CDM documentation such as eCRF specifications, eCRF completion guidelines, edit check specifications, and data management plans identifying and mitigating risks to data quality and proper inclusion into the Trial Master File (eTMF.
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Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking. The Sales Executive, Field Sales promotes and sells Attorney Legal Marketing solutions (FindLaw, Super Lawyers, Abogado, LawInfo) through outbound telephone calls to new and existing small law firm customers (one to ten attorney size.
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The Data Services & Compliance (DSCO) domain with Asset Management Technology provides core and common data engineering & investment compliance capabilities to the breadth of Asset Management.
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machine learning data engineering jobs Title: risk specialist in Boston, MA
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