Under the supervision of the Principal Investigators and the Project Director, the Data Analyst will coordinate with the team to manage daily processes of the Keeping it LITE study as specified by the funders, as detailed in the protocol, and as regulated by the Cook County Health Institutional Review Board.
Keeping it LITE (see keepingitlite.org) is funded by the National Institutes of Health to utilize innovative technology approaches to enroll a large cohort to study HIV transmission risk in U.S. populations at highest risk of HIV infection. The purpose of the study is to generate information needed to improve knowledge of HIV risk, optimize and develop U.S. public health prevention interventions. Moreover, we aim to characterize subgroups of cis- and transgender men, transgender women, and non-binary individuals at high-risk for HIV. We also aim to analyze individual and social contextual determinants of HIV risk behavior or seroconversion.
Primary responsibility includes managing data, generating reports, conducting descriptive and inferential statistical analyses (simple logistic regression or multivariable analysis, etc.), and interpretation of results as needed. Additional responsibilities include conducting literature reviews and annotated bibliographies, assisting with manuscript preparation and submission including formatting tables, figures, graphs, plots, etc. and citation management. Other study visit and participant management functions will also be required, as needed.
Proficient in spreadsheet (e.g. Excel) and data management (e.g. REDCap) software applications
Proficient user of SAS, SPSS, STATA and/or REDCap
Ability to program in SAS, SPSS, STATA and/or REDCap to create data entry/management environment
Ability to perform descriptive (cross tabs/frequencies, summary statistics) as well as complex queries across multiple datasets
Knowledge and experience managing and analyzing cross sectional and longitudinal biomedical and clinical datasets with preference for HIV
Excellent written and verbal communication skills especially as it relates to data documentation
High level of software and hardware knowledge and ability to troubleshoot problems
A Master's Degree in biostatistics/epidemiology, computer science, or a related discipline resulting in proficient programming and analytical skills
Prior experience developing relational databases in a clinical research environment and experience in longitudinal datasets
Prior knowledge in HIV/AIDS or clinical/medical diseases experience
Prior work with healthcare/public health datasets
Minimum 2 years of field or job experience preferred