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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Working experience with common open source image processing libraries such as ITK, VTK, MONAI, 3D Slicer and high performance GPU clusters such as AWS, Databricks.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The team includes AI/ML engineers, data engineers, architects, and software engineers delivering AI. The ideal candidate is passionate about technology and applying it to solve real world problems by leveraging advanced technologies, particularly in the cloud, including Generative AI (GenAI), natural language processing, machine learning and deep learning.
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Experience in CDISC (SDTM, ADaM data sets) Skilled in analysis of safety, efficacy & biomarker data, with an understanding of multiplicity issues; immunology/CV background a plus.
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Non-profit accounting, public accounting experience, and/or consulting experience is a plus but not required. Analysis and data visualization, budgeting and forecasting. CPA certification is a plus.
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Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Work will take place onsite at the NSTX-U fusion researcher facility located at Princeton Plasma Physics Laboratory, Princeton NJ. Qualified candidates will have a Ph. D. in Physics or a related field and a demonstrated background in plasma physics, microwave based diagnostics, and advanced data analysis/signal processing techniques.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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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 26 days ago - UpvoteDownvoteShare Job
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A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations. We combine data and context to paint the whole picture for our clients, around the clock - from around the world.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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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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Via courses, webinars, and professional conferences, stay abreast of all developments in industry best practices, tools, subscriptions, and emerging conversations related to gift recording, database management, and prospect research, particularly related to IRS charitable giving guidelines, ethical intelligence-gathering techniques, the protection of donor privacy, and fundraising data analysis.
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Design high-speed data paths to implement arithmetic functions and signal processing algorithms as needed, as well as complex control state machines. Knowledge of computer arithmetic, digital signal processing and related VLSI architectures.
$162,648 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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With significant datasets in user demographics, customer acquisition, user behavior, and product transactional statistics, the General Manager of Data and Analytics will drive insights aligned to customer personas and behaviors across all ETS. These insights, along with managed data sets, will be made available through a Data-as-aService (DaaS) model for internal processing as well as external monetization.
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Knowledge of other emerging technologies such as artificial intelligence, machine learning, or natural language processing in the context of content management. Tactical leader for content platforms driving Proof of Concepts (POCs) with user management, security, data privacy & performance as key considerations to help prove out a potential solution to scale into production.
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plus data processing jobs Company: Microsoft in Princeton Junction, NJ
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