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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Proven ability of overseeing EDC build, UAT, data collection, data processing, coding, validations, database lock and directing a team of data managers working across multiple studies.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Description : The Associate Director reports directly to the Director of US Commercial Real World Data Strategy and is based in central NJ. He/She has responsibility for designing and executing the Brand Data Strategies for the pre-launch, launch, and inline brands/indications for a multi-billion-dollar product portfolio.
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Knowledge of JavaScript and the AngularJS framework is a plus. Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Implement data integration solutions using Azure Data Factory and Snowflake. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into SQL Server databases.
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Must possess a Bachelor’s degree or foreign equivalent in Information Technology, Data Science or a related field and minimum 3 years of experience in ROI analytics, business analysis, sales analysis, forecasting, quantitative finance, data science.
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This role aims to enhance employee experience, ensure accurate HR data, and foster a culture of continuous improvement within a virtual and global framework. Establish and roll-out governance frameworks to ensure data compliance, data quality and data security on a global scale.
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The Nuclear Medicine Technologist performs a variety of technical procedures, image acquisition and the utilization of radionuclides for the diagnosis and therapy of disease. Performs required daily clerical duties, which include the use of EPIC, PACS, Teletracking System, Nuclear Medicine Information System, patient scheduling and computer processing associated with patient studies.
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Mathematica is seeking a Data Platform Engineer to join the Health Unit’s Health Solutions Insights (HSI) team. As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people.
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Must be a critical thinker who can successfully troubleshoot and solve data quality/performance issues. Understanding of data science concepts, as well as MDM (Master Data Management), CDP (Customer Data Platform), BI (Business Intelligence), DWH (Data Warehouse) design and implementation techniques.
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To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must. Data entry or administrative assistant experience is not needed but can be a bonus.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Experience in the configuration and setup of ECM document imaging, document management, document import processing, workflow, electronic forms (html, unity) and reporting modules. Develop interfaces between OnBase and other applications using Hylands Unity toolkit, external database links, and/or custom integration applications to link enterprise applications with OnBase solutions, achieving a seamless user experience.
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a plus data processing jobs Company: Microsoft in Cranbury, NJ
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