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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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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. CPA certification is a plus. Bilingual-English/Spanish a plus.
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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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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.
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Industry certifications such as ASP, CSP, CHMM a plus. You drive, maintain and improve operational HSE processes, initiatives, projects and campaigns, provide data based direction for improvement, while building capabilities and a learning culture together with the site leadership team.
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Adept at describing data clearly and concisely in both visual and narrative form, using a variety of platforms to meet the needs of a wide range of audiences. Compile and analyze data from a broad range of sources in order to apply a standardized assessment of the philanthropic capacity and interests of key donors and prospects.
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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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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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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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To various outlets, equipment and panelsInstalls, maintains, tests, and repairs: lights, lighting controls, alarms, public address, power distribution systems and data processing systems, etc.
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a plus data processing jobs in Princeton Junction, NJ
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