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This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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Strong background in data science, commercial analytics, and/or real-world evidence generation. For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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Acts as a data steward with subject matter expertise related to advisory data (e.g. CRM, Financial Planning, Account Workflow, Proposal/Models, Portfolio Construction, Direct Indexing, Trading, Reporting.
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Expertise, in-depth hands-on experience is expected in genomics platforms (NGS, qPCR, variant analysis platforms) for assay development, qualification/validation, troubleshooting, and reviewing run QC data.
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Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Experience in bioinformatics, data analysis, and/or cancer research preferred. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf.
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Ensure proper specimen accessioning and gather clinical history, including scans, x-rays, and lab data. Perform administrative duties related to the maintenance of surgical pathology protocols, reports, and data.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. QSP models are mechanistic, mathematical models, based on integration of non-clinical/clinical knowledge and data to represent varying scales of drug pharmacology from target binding and modulation through disease pathophysiology and multi-drug pharmacology.
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Operate NOAA’s specialized aircraft, manage research and survey vessels, and support data collection missions, including fisheries surveys, atmospheric sampling, and coastal mapping. Participate in collecting and analyzing environmental data across various NOAA missions.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Also, if you have been involved in accounting, clerical jobs, marketing, management, security, or data entry jobs, you may be a good fit for a fully remote paid Product Tester Position. If you are a manager, receptionist, warehouse or factory worker, driver, medical assistant, nurse, cleaner, college student, messenger, maid, teacher, retail associate, salesperson, secretary, server, janitor, cashier, contract worker, or intern who is looking for a flexible part-time or seasonal job, you should try paid Product Testing to supplement your income.
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Abbott Point of Care is a global leader in providing critical medical diagnostic and data management products for rapid blood analysis that are intuitive, reliable, and cost-effective. Ability to interpret clinical data and scientific information to accurately and effectively present information to HCPs/Customers.
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Understanding in single case processing, aggregate data review and evaluation of drug safety issues, adverse event dictionaries, literature publications, core labeling, and Periodic Safety Review preparation is required.
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The candidate should have experience in master data integration with S4 HANA and Ariba. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
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data job Company: Red Hat in Princeton, NJ
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