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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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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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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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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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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
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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.
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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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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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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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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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Performs data analysis and statistical gathering on a monthly basis with regards to DRG, Public Reporting, HAC compliance which is then presented to the Chief Compliance Officer. Reviews Diagnosis Related Group (DRG) assignment for selected Medicare/Medicaid inpatients, Hospital-acquired condition (HAC), Patient Safety Indicators (PSI) and Healthgrade target diagnoses, mortalities and dual diagnosis (dx) for principal diagnosis (Pdx) for the purpose of reimbursement, research and statistics in compliance with federal regulations according to ICD-10 coding classification systems.
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The Valuation Senior Associate can be based out of any of our U.S. office locations (New York, NY; Philadelphia, PA; Boston, MA; Braintree, MA; Woburn, MA; Princeton, NJ; Whippany, NJ; East Brunswick NJ; Red Bank, NJ; Saddle Brook, NJ; Providence, RI; Baltimore, MD; Bethesda, MD; Nashville, TN; Boca Raton, FL; Orlando, FL; San Diego, CA; Los Angeles, CA; Orange County, CA; San Francisco, CA; San Ramon, CA; Portland, OR; Seattle, WA.
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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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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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