The School of Public Health seeks to find a Research Data Analyst who will be primarily responsible for data management, quality control, and statistical analysis of data for a number of grants focused on social epidemiology and social determinants of health, population mental health, and health inequities. Additional responsibilities will include drafting progress reports, protocol and analysis documentation, and manuscript preparation. Assistance with grant writing may also be required. The Data Analyst will primarily use SAS or STATA statistical software to perform analyses. Use of R statistical software may sometimes be needed as well. The Data Analyst will be critical to ensuring the timely presentation and publication of results from a number of grants.
Perform statistical analyses (descriptive statistics, stratification, multivariable regression, spline curves, measurement error correction, inverse probability weighting) using SAS, STATA, or R software and in support of various research projects.
Perform data management, including extraction and cleaning of raw data, derivation of new variables, labeling and formatting of raw and derived variables, and multiple imputation.
Maintain and update research databases to facilitate analyses.
Document processes involved in data preparation, manipulation, and statistical analysis.
Prepare study results for inclusion in conference presentations, grants, and scientific publications.
Review literature related to analytic, methodological techniques, and content area.
Master's degree in biostatics or relevant degree and 1-3 years of experience.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.
Internal Number: 1931
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