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Specializes in the clinical domain and works across biostatistics, clinical trials/research, data management, health economics/RWE, medical affairs, statistical programming, and other R&D areas within pharma and biotech.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) Job SummaryPRIMARY FUNCTION: The Health Economics Team (HET) is seeking a candidate to fulfill the Senior Analytics Consulting position in its Chicago office.
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The Research Professional will report to an BFI-affiliated faculty member at the University of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, or the University of Chicago Law School.
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Strong study design and statistical analysis skills with proficiency in one are more statistical applications (SAS/R/Python) is required. PhD preferred, minimum MS in Statistics/Biostatistics, Health Economics, Epidemiology required.
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Bachelor's Degree; Masters' degree strongly preferred in public policy, economics, statistics, developmental psychology, sociology, or education. Experience with quantitative analysis is preferred, including working knowledge of R, Stata, SAS, SPSS, or other statistical data analysis packages.
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Masters or doctoral degree or equivalent experience in data analytics, pharmacoeconomics, pharmacoepidemiology, public health, public policy, economics, behavioral or social sciences, or other relevant disciplines.
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BFI is a collaborative platform serving the University of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School.
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Experience with statistical programming languages (R, Python, etc.) Bachelor's degree in an analytical subject (statistics, math, economics, physics, engineering, business, political or social science, computer science, etc.
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Doctorate in health services or other applied substantive area (e.g., criminology, economics, epidemiology, nursing, psychology, psychiatry, public health, social work, sociology); demonstrated experience in measurement, statistics, psychometric analyses, methodology, advanced qualitative analysis, or mixed methods analysis.
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The Becker Friedman Institute for Economics (BFI) works with the Chicago Economics community to turn its evidence-based research into real-world impact. Familiarity with statistical analysis packages such as Stata, R, or Python.
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Minimum three years of demonstrated experience in applying economics to areas such as transfer pricing, econometric modeling, or statistical analysis in an audit, tax, and/or advisory firm, professional services firm, think tank, public sector agencies, and corporations preferred; classroom instruction will also be considered.
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Basic programming and/or statistical software experience (advanced Excel/VBA, SQL, Matlab, Python, R, etc.) Undergraduate degree in a quantitative field, such as Finance, Economics, Computer Science, Statistics or Engineering.
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Writes SQL code and/or performs computer statistical analysis of large complex data sets and databases using both the data warehouse and using statistical packages (SAS enterprise, Microsoft Power BI, Tableau, or other software or statistical packages as needed by industry standard.
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Experience through coursework and applied research projects conducting impact, quasi-experimental, and/or implementation studies, statistical and econometric methods commonly used in social science research, knowledge of programs or interventions related to one or more relevant content areas listed above.
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A degree, preferably in Economics, Econometrics, Engineering, Physics, (Applied) Mathematics, Accounting, Information Systems. To ensure success as a technical data analyst, you should demonstrate experience performing data analysis to provide insight into the characteristics of those data sets using standard statistical methods and data science concepts.
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