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This role reports directly to the Data Science Lead; works closely with other executives and senior leaders, particularly our Chief Development Officer and Head of Protein Sciences; and has broad responsibilities across BigHat for pipeline development.
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Demonstrated capability in the complex data analysis techniques such as dimensionality reduction/scaling/normalization, clustering analysis, inferential statistics/regression analysis, and various machine learning techniques.
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Familiarity with data processing and visualization tools for data analysis and figure generation (e.g., R, Vortex, GraphPad Prism, Genedata Screener, etc). Maintain detailed electronic lab notebook entries, draft protocols for experiments, assay data summaries, and manage reagent stocks.
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Data Storage technology (SSD, HDD, etc) Regularly champion research and present/influence to VP and GVP level and show AI or data technology expertise. Lead discussions of multiple number of products/applications using emerging data and AI technologies.
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber – the #1 threat to US national security, above nuclear weapons.
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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Certified Anti-Money Laundering Specialist (CAMS) certification or Certified Fraud Examiner (CFE) is strongly preferred Experience with Visa DPS strongly preferred 3 to 5 years of experience with analysis and data mining in a risk management context.
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Review member accounts through analysis for fraud or prevention of fraud by utilizing software such as, Visa Risk Manager, Visa Data Manager. Performs detailed analysis to detect trends, anomalies or patterns in transactions or relationships across a variety of data sources to determine liability, risk, sanctions, and/or impact of each case.
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Reports to: Chief Technology OfficerLocation: Redwood City, CA (Hybrid)Primary ResponsibilitiesIn a nutshell, develop and lead an innovative team whose mission is to deliver one of the world’s most advanced analytical platforms for analyzing raw microbial data, bridging scientific breakthroughs and significant unmet medical needs.
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The candidate must be able to process data and evaluate data quality, including recognizing anomalous and inconsistent results. The ideal candidate will have hands-on experience in one or more of the following techniques: immune cell functional assays, multi-color flow cytometry, primary cell isolation and culture, ELISA/Luminex, molecular biology techniques such as RNA/DNA isolation, qPCR, cloning and virus production.
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Experience in statistics and data analysis (e.g. JMP, Spotfire). Lead end-to-end Cell Line Development pipeline projects, including activities from vector design and construction to clonal cell lines ready for Master Cell Bank generation.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. - Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases.
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As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
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Applying synthetic biology, genomics, bioinformatics, data science, and fermentation, we harness the most beneficial molecules from plants to create active pharmaceutical ingredients in more controlled and economical ways.
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We use data science, genomics, synthetic biology and automation to discover potent, evolutionarily refined small molecules and their cognate targets from fungal genomes, and apply medicinal chemistry when needed to optimize these molecules into truly transformative medicines.
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data job Title: technology lead Company: Big Blue Marble Academy in Menlo Park, CA
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