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Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS. Expertise in some of the following statistical and/or quantitative methods: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey statistics and predictive modeling.
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Manage the utilization of measurement tools, statistical methods and benchmark comparisons to determine and analyze outcome measures in support of organizational goals. Lead the design, implementation, and maintenance of analytical processes and reports supporting Gateway Health Plan's performance (internal to the organization and in comparison to industry benchmarks/best practices.
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Compiles and analyzes statistical data (SPC, correlation, time studies etc.) AutoCAD or Inventor experience required. Niterra is a leading manufacturer of ignition parts and sensor components for the automotive industry.
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Master's degree or D. in Educational Measurement & Statistics, Quantitative Research Methods, Industrial/Organizational Psychology, Psychometrics, or highly related discipline. The Senior Psychometrician - Statistical, Reporting, and Analytics is responsible for the statistical maintenance and validation of large-scale high-stakes examinations for credentialing programs at PSI. This position is occupied by a senior individual contributor who engages in advanced psychometric analysis to support the development of fair, reliable, and valid examinations.
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Statistical or mathematical software including one of the following: R, SAS, or Matlab. Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of Meta products.
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Preferred:MS in areas of Engineering, Nursing, Biomedical Engineering or other life science disciplineBA, BS or BSN in areas of Engineering, Nursing, Biomedical Engineering or other life science discipline is highly preferredDemonstrated knowledge and experience in quality regulatory compliance, adverse event reporting, medical device risk management processes, and common statistical methods is preferred.
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Leveraging machine learning techniques and statistical programming packages to perform analysis on commodity instruments. We assist our clients with analytical support in complex commodity risk topics such as hedging, trading and procurement optimization, market risk management, reporting tools and complex contract modeling, including energy, agriculture, metals, and soft commodities.
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Your focus will be in the analytic services space, delivering statistical analysis outputs to the CDC to advance the research of HIV and support study principal investigators in progressing their publication concepts from early hypothesis to data supported journal acceptance and publication.
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Strong analytical capabilities including knowledge of/involvement with advanced statistical techniques; basic knowledge of at least one statistical software package (e.g., SQL, SPSS, Alteryx) is not required, but a plus.
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Conduct research, including working with investigators to define the research problem, prepare a protocol for IRB submission, prepare data collection instruments, conduct statistical analysis and prepare manuscripts for publication.
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Understand all aspects of Quality Assurance including GMP compliance, HACCP, Statistical Process Control, Continuous improvement, Environmental Monitoring, Laboratory Operations (including instrumentation), Consumer Satisfaction Measures, procedural document control, release and stability testing protocols, root cause problem solving and new product quality assurance.
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