1) Obtain, manage, and analyze data for several health policy projects. Examples include but are not limited to policy analysis of pre-hospital care (ambulances) and specialty hospitals like trauma centers, and the evaluation and creation of patient safety measures for nursing homes. Much of this work will involve using large claims databases (Medicare and Medicaid) and other administrative datasets.
2) Responsible for managing, manipulating, and summarizing datasets, deriving new variables, creating datasets for new analyses, and performing statistical analyses.
3) Create code that is reproducible and for writing corresponding documentation.
4) Computing work will be done at the Center for Research Informatics with regular opportunity to interact with data scientists and biostatisticians in the Departmentâ™s Biostatistics Laboratory.
1) Solid command of at least one computing language/environment appropriate for data analysis (e.g. SAS, Stata, R, Python).
2) Problem-solving and analytical skills.
3) Attention to detail and organizational skills.
4) Excellent verbal and communication skills.
5) Ability to work in a collaborative team environment.
6) Good understanding of statistics and particularly causal inference statistics.
7) Knowledge of Git or another version control system.
8) Knowledge of Linux/Unix operating system.
1) Bachelor's degree in computer science, economics, statistics or other quantitative field.
2) Advanced degree in computer science, statistics, or discipline involving data analysis.
3) Completed coursework (either as part of their degree program or continuing education) in one or more programming languages and/or focusing explicitly on data manipulation and analysis.
1) Experience in the manipulation and/or analysis of quantitative research data.
2) Two courses or the equivalent experience in statistical analysis.
3) Experience working with Medicare and/or Medicaid claims data.
4) Experience in working with big data, including using advanced computing platforms and statistical software such as SAS, Stata, and R.
5) Experience and/or interest in health policy research.
2) Cover Letter
3) Unofficial Transcript -provide upon request
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application
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