The Data Analyst will support UCI's global TB prevention and implementation science portfolio, with a focus on projects such as a cluster-randomized trial focused on TB preventive therapy delivery to people living with HIV in Uganda.
Requirements
- Working knowledge of research methods and data collection practices.
- Skills in statistical analysis and data management using software such as Stata, R, or SAS.
- Ability to build and maintain databases (e.g., REDCap) and conduct routine data quality checks.
- Ability to clearly document procedures and communicate results in tables, figures, and reports.
- Experience with data management and statistical analysis using software such as Stata or R.
- Relevant training in biostatistics or equivalent experience.
- Experience with cleaning and analyzing hierarchical or clustered data.
Responsibilities
- The Data Analyst applies training in epidemiology, biostatistics, or public health to support clinical trial implementation as well as data management and analytic tasks of moderate complexity, with oversight from senior analysts, biostatisticians, and faculty investigators.
- This role bridges UC-based investigators, international collaborators, and local study teams by helping to train field staff, monitor compliance with study protocol, maintain data systems, monitor study progress, and support analysis efforts.
- The Data Analyst will gain hands-on experience with cluster randomized trials and implementation research methods in a global health setting.
- Skills in statistical analysis and data management using software such as Stata, R, or SAS.
- Ability to build and maintain databases (e.g., REDCap) and conduct routine data quality checks.
- Ability to clearly document procedures and communicate results in tables, figures, and reports.
- Experience with data management and statistical analysis using software such as Stata or R.
Other
- Strong organizational skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
- Ability to work both independently on routine tasks and collaboratively within cross-disciplinary teams.
- Strong organizational and time management skills, with the ability to manage multiple priorities.
- Excellent written and verbal communication skills.
- Ability to work both independently on assigned tasks and collaboratively in cross-disciplinary and international teams
