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The ideal candidate will have a doctorate in health services research, epidemiology, behavioral sciences, implementation science, biostatistics, or a related field and have experience managing human subjects research and conducting and/or overseeing quantitative and/or qualitative data research.
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What Required Skills You'll Bring:Possess a graduate degree an advanced degree in Mathematical Psychology, Cognitive Psychology, Research Psychology or other related field that emphasizes the application of complex quantitative methods to measure human behavior.
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A bachelor’s degree in Business Analytics, Computer Science, Data Science, Econometrics, Engineering, MIS, Mathematics, Statistics, or a related quantitative discipline. Alabama Power is seeking an initiative-taking and innovative Data Scientist to join our Marketing and Economic Development team.
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The Postdoctoral Research Scientist will work with the Project Director to participate in a fisheries biomonitoring program. Experience collecting fisheries data using standard sampling gear, including gill nets, trawls, and boat electrofishing.
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Generates and analyzes data to support lab services: ADME Toxicology, Ion Channel, Translational Biology, Cell and Gene Therapy, and Large Molecule Services. Experience with HPLC Mass Spectrometry and quantitative analysis.
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J&J Innovative Medicine - R&D Data Science Analytics & Insights team is recruiting a Postdoctoral Scientist. A Ph. D. degree in a quantitative field (e.g., computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, applied mathematics, or similar.
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Bowhead will ensure that our senior scientist possesses a strong background in statistics and quantitative modeling and developing machine learning algorithms. Additionally, our senior scientist will develop estimates related to total forest biomass, net carbon storage, and sequestration rates.
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The College of Education, Health, and Human Sciences (CEHHS) at the University of Tennessee Knoxville, the state’s flagship research institution, seeks an applied statistician/quantitative scientist who can provide leadership in developing and providing statistical, data management, and data science support for health and education-focused research.
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The Expertise and Skills You Bring Minimum of 10 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts Masters or Ph.
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The MS Lab Scientist applies knowledge and experience with mass spectrometry, sample extraction/isolation techniques, and chromatographic separations to develop, validate and implement quantitative clinical LC-MS biomarker assays.
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Catalent Pharma Solutions in Kansas City, MO is hiring a n Associate Scientist II for Biologics III who is responsible to provide and report data, as required by project contracts within the Biologics Department.
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Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics or a related quantitative discipline with at least 3 years experience working on real-world data. The successful candidate will focus on developing and applying innovative computational approaches to analyzing proteogenomics data spanning genomics, transcriptomics, proteomics, phosphoproteomics and other posttranslational modifications from cancer, cardiovascular, infectious and other diseases being actively studied in our group at Broad.
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NOT STATEDTechnology - IoT, AI, Advanced AnalyticsStrong experience with Python and machine learning frameworks, experience as a Data Scientist or Analyst, degree in a quantitative field.
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This includes, providing oversight of assigned projects as requested and to support studies focusing on cell- and gene-based therapies in the nonhuman primate model to include oversight of data collection, entry, and analysis; troubleshoot and develop new techniques such as those related to immunohistochemistry and histologic methods; assist with writing manuscripts and reports; and develop data systems for collection and analysis of data.
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Working with data provided by and maintained by the Longitudinal Study of Astronaut Health (LSAH) to provide quantitative risk postures via probabilistic risk analysis and other methods.
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