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 position will provide statistical support to analyze data from these pilots, aiming to facilitate comparisons across sites and conduct analyses using a master dataset.
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 systematic data quality checks and validation procedures
- execute the analytic plans designed by the Principal Investigators and Senior Data Scientist according to the SOWs
- ensure analytic plans are consistent with Co-PIs
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
- Bachelor's and 3 - 5 years experience 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.
