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Your day-to-day will involve:Engaging in dynamic discussion laboratory personnel in our US and European locations to guide them in developing IHC/IF single-plex/multi-plex assays and in situ hybridization (ISH)Partnering closely with our digital pathology team and data scientists to develop and verify digital image analysis algorithms and results from image analysis projects.
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A Scientist in our Surface Analysis groupis responsible for operating analytical equipment such as XPS (X-ray Photoelectron Spectroscopy), TOF-SIMS (Time of Flight Secondary Ion Mass Spectrometry) and Auger Electron Spectroscopy.
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This includes but is not limited to responsibility for genomics and gene expression profiling (GEP) biomarker assay technology/ platform selection, evaluation of in-house or vendor choice per assay use requirements, development, optimization, qualification/validation and/or execution of biomarker analysis for BMS translational medicine and clinical programs.
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ERM delivers a wide range of climate change services including decarbonization strategy development, creation of Scope 1, 2, and 3 carbon inventories, Task Force on Climate-related Financial Disclosure (TCFD) analysis and reporting, strategy development, policy and regulatory analysis, target setting, and benchmarking.
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Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist – Medical Image Analysis Location: Dallas, TX As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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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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Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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Awareness of emerging healthcare & pharmaceutical industry trends and assess their potential impact on GTN forecasting and accruals Support Global Finance, Comm. Ops, Trade & Market Access team in analysis of FMV, bonafide service fees and other special projects.
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The evidence-based history of Applied Behavior Analysis (ABA) therapy has proven it to be a best practice model used to support and provide effective treatment to individuals with Autism Spectrum Disorder (ASD) as well as other behavioral and developmental disabilities.
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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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Develop and maintain data lineage documentation and mappings to support data governance, regulatory, compliance, and data lineage analysis activities. You will play the role of data steward and partner with stakeholders across various teams to assist with data governance and data privacy initiatives.
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Xperience practicing law as well as claims management (both directly managed and TPA managed claims) policy construction and drafting, reporting claim trends, data analysis, and risk assessments.
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Development and implementation of comprehensive site investigations by participating in scope of work development, field work, and data analysis to characterize contaminants in sediments, soil, air, surface water, and groundwater.
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Performs tech transfer facility fitness, gap analysis, and risk assessment when on-boarding new programs. Author, and approve protocol and reports in accordance with internal and external regulatory expectations (APS, Engineering, Tech Transfer.
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Demonstrate competency with laboratory work and use of analytical instrumentation Interpret XPS analytical data and apply understanding of the data to solve specific problems Knowledge/experience in other surface analysis techniques is a strong plus, e.g. XRF (X-Ray Fluorescence), SEM (Scanning Electron Microscopy), RBS (Rutherford Backscattering Spectrometry.
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managed analysis jobs in Princeton, NJ
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