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The Data Scientist will contribute to the implementation of a cohesive, powerful, and actionable long-term Data Science strategy involving the analysis of large complex nephrology and urology data sets to discover hidden patterns, trends, and associations in support of research, operational, and clinical objectives.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Data Engineer who wishes to take on the challenge of building a world-class data operation.
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This team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners.
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Saint-Gobain Research North America is looking for talented, and energetic data scientists to join our Data team in driving digital transformations for key programs. Maintaining a keen awareness of recent developments in data science and cloud computing infrastructures and state-of-the-art AI/ML/DL algorithms and research results.
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Under the supervision of the principal investigator, duties include participation in research projects, clinical study design and execution, assay development, NGS library preparation, data collection, and assistance with data analysis and manuscripts.
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30% Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining.
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Nemours Children's Health is part of PedsNet, a Clinical Data Research Network funded by the Patient Centered Outcomes Research Institute (see www. We seek a clinical research scientist who can add depth and breadth to our center by either bringing an active program of research or establishing a new program in Child Clinical Psychology (e.g., depression, anxiety) and/or integrated primary care.
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The Data and Research Analyst must have specialized knowledge in data analytics and visualization. In addition to performing the duties of Assignment Level I, with considerable latitude for independent or unreviewed action or decision, the Data and Research Analyst will perform highly complex economic and/or fiscal research and studies related to operational issues.
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The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development.
$125,840 - $238,160 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Within LSEG, the Power, Natural Gas, Coal, and Carbon Research division (formerly known as Point Carbon, Thomson Reuters, and Refinitiv) has a strong presence in the commodity community. Position Overview: The primary focus will be on improving and developing products for US ISO markets (including PJM, ERCOT, NYISO, ISONE, CAISO, MISO, and SPP) and will work very closely with existing US-based Research teams in Carbon and Natural Gas, as well as our Oslo-based Power Research team.
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Job Summary: The Clinical Lab Scientist 1, under general supervision, operates specialized instruments to conduct clinical lab tests and analyze data from results, to assist physicians with diagnosing medical conditions.
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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
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With the move from CU Boulder to UCSD, these operations will scale up considerably, requiring new laboratory and computational infrastructure, software development (especially capacity for handling patient data and managing collaborations with companies that include confidential data), and multi-omics readout techniques.
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Our research team recently invented a methylation sequencing profiler that enriches genome-wide by up to 16- fold (95%+ of reads have unbiased CpG data), and we are leveraging it on banked clinical specimens to focus on: tumor classification, early cancer detection, early cancer prognostication, enhancing minimally invasive biopsies classification and prognostication, and tools to advance the diagnostic resolution of hard-to-diagnose clinical cases.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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