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languages, has experience with SQL databases and large administrative datasets, and believes in CPL’s mission. The Senior Data Analyst contributes to applied research projects that aim to improve programs and
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university. Among our faculty are many members of the National Academy of Sciences, the American Academy of Arts and Sciences, and the Econometric Society. Job Information Job Summary: The University
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year of work experience in a related job discipline. Experience gained through coursework may be counted as relevant experience. Background in econometrics. Familiarity in analyzing large data sets and
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Health Data Sciences and Informatics (OHDSI, https://ohdsi-europe.org ) initiative, dedicated to bring out the full value of observational health data through the OMOP Common Data Model and large-scale
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large data sets and applying econometrics methods. Previous research assistance experience contributing meaningfully to faculty research. Technical Skills or Knowledge: Knowledge of machine learning
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with quantitative training. Experience with data analysis, survey methods, statistical software, or econometric modeling (i.e., STATA, R, GAMs). Preferred Qualifications Academic or professional
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science. The postdoc will work on a variety of projects, which may include methods for large language models, the impact of artificial intelligence on society, as well as broader questions surrounding
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need to cover the tuition fee difference. Further information on tuition fees can be found on the following webpage - https://sheffield.ac.uk/new-students/tuition-fees/fees-lookup View DetailsEmail
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%) Conduct data collection, cleaning, and management using large-scale administrative, and geospatial datasets; assist in integrating multiple data sources; (30%) Perform descriptive and econometric analyses
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to team-based teaching and course coordination Demonstrable skills in computer languages, specifically R or Python, is preferred Experience with teaching large and diverse student cohorts is an advantage