The Center for Guaranteed Income Research (CGIR) at the University of Pennsylvania is conducting the world's largest multi-site evaluation of guaranteed income pilots. This role will provide statistical support to these research projects, including data analysis, interpretation, and reporting, to contribute to the empirical scholarship on cash, economic mobility, and poverty.
Requirements
- considerable knowledge and command of at least one of the following programming languages: Python, SAS, R or Stata, required or equivalent combination of education and experience prefered.
- Python and experience with unstructured or primary data strongly preferred.
- At least one year of professional experience as a biostatistician, or a similar role, in managing large datasets and in utilizing statistical software packages required
- implement advanced missing data imputation using machine learning methods
- conduct statistical analyses including regression modeling, hypothesis testing, and results interpretation
- develop and maintain comprehensive data documentation, codebooks, and variable dictionaries
- conduct systematic data quality checks and validation procedures
Responsibilities
- Conduct statistical analyses including regression modeling, hypothesis testing, and results interpretation; implement advanced missing data imputation using machine learning methods; develop and maintain comprehensive data documentation, codebooks, and variable dictionaries; conduct systematic data quality checks and validation procedures.
- Manage analytic segments of research projects; collaborate with research teams by executing the analytic plans designed by the Principal Investigators and Senior Data Scientist according to the SOWs, by ensuring analytic plans are consistent with Co-PIs and by supervising 2-3 student workers when necessary; support regulatory compliance activities including data security procedures.
- Prepare reports of research findings and articles for white papers and peer review; present findings to diverse stakeholders; translate results for non-technical audience.
- assist study investigators in the areas of protocol development, study design, analysis plan, sample size / power calculations, and interpretation of study data
- develop, design and write new and/or revised statistical programs and modeling based on requirements of ongoing research projects
- conduct and interpret analyses of research data using descriptive statistics, basic inferential tests, and advanced statistical procedures
- evaluate and ensure statistical integrity, accuracy and validity of research data
Other
- Bachelors of Science, and 3 to 5 years of experience or equivalent combination of education and experience is required.
- Master's degree and 1-3 years of professional work experience in biostatistics, statistics, economics, mathematics or a related quantitative field in the human or social sciences
- experience preparing grant applications and writing for peer-review preferred.
- This is a hybrid position with a requirement of 2-3 days per week in-person on campus.
- Contingent upon grant funding.
