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Apply analytical and statistical programming as well as visualization tools to drive the end-to-end analytical process. Requirements: Bachelor's degree in Engineering, Technology, Computer Science, or closely related field, plus one year of professional experience building, stabilizing, validating, and monitoring statistical models to ensure that they meet the retail sector client guidelines.
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PhD in Health Services Research, Statistics, Psychometrics, Outcomes Research, or closely related field with 3+ years of relevant industry work experience in the COA field. OR Bachelor's degree in Health Services Research, Statistics, Psychometrics, Outcomes Research, or closely related field with 10+years of relevant industry work experience in the COA.
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Strong statistical programming skills using SAS, R, or other statistical software. Review research proposals submitted to HSS CRPs before submission to HSS IRB for ethical and safety review by addressing and/or clarifying any feasibility concerns including methodological or statistical decisions questions.
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Expert knowledge of quantitative finance and statistical programming with a strong familiarity of SQL and/or Python. Our client, a multi-billion Asset Manager, is seeking a Risk Manager specialized in Mortgages & Securitized Products Trading to join their Risk Management & Quantitative Research team.
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Develop and apply integrative statistical/ML models to identify disease sub-phenotypes and perform patient risk stratification using multimodal data from Alzheimer's' patients as part of the ADSP project and different cancer types as part of the MSKCC sequencing cohort.
$55,439 - $100,940 depends on experienceExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Analyst will be responsible for managing the quantitative analysis models for private equity funds due diligences and must be able to analyze statistical information and conduct quantitative industry / investment research.
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For a broad spectrum of commercial and personal lines of insurance, ISO provides statistical, actuarial, underwriting, and claims information and analytics; compliance and fraud identification tools; policy language; information about specific locations; and technical services.
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8 + years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, and economics/statistical modeling. We’re looking for an outstanding technical leader in economics and data science who specializes in statistical modeling, causal inference, and/or structural analysis to advance data-centric decision-making at Duolingo.
$169,700 - $314,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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Strong analytical skills with proficiency in statistical analysis software (e.g., Analyse-it , SPSS, SAS, R). Renalytix is an In-Vitro Diagnostics laboratory services provider of precision medicine solutions in Chronic Kidney Disease.
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Additionally, Senior Associates assist in projects related to economic and statistical analysis, model validation, database management, and other ad hoc quantitative assignments. Ability to program in VBA and/or other statistical package a plus.
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5+ years of hands-on experience with structured query languages and statistical computing (e.g., R, SQL, Python, SAS). Leverage real-world data and statistical modeling to recommend, test, validate, and track supporting health economics and outcomes research, return on investment (ROI), and healthcare benefit models for client businesses.
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Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
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Knowledge and/or experience in Geometric Dimensioning and Tolerancing (GD&T) and inspection, 6 sigma, Statistical Process Control (SPC), Corrective and Preventive Actions (CAPA), Eight Disciplines Problem Solving (8D), and / 5 Whys.
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The scope of the models covers broad risk stripes including Counterparty Credit Risk, Market Risk, Liquidity Risk, Operational Risk, Risk in Investing and Lending, and statistical evaluations of risk model performances.
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psychometrics statistical jobs in Hoboken, NJ
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