The Department of Biostatistics is seeking a Research Data Analyst to provide scientific, programmatic, and administrative support to faculty research programs, focusing on statistical methods for causal effects estimation and policy evaluation.
Requirements
- Strong understanding of Quantitative analysis methodologies, including descriptive analyses, regression analyses, and other advanced statistical methods.
- Data cleaning, management, and analysis experience.
- Experience with the R programming language.
Responsibilities
- Data cleaning, management, exploration, analysis.
- Data visualization.
- Conduct quantitative analyses including propensity score analyses and policy evaluation approaches.
- Compile results from analyses for presentations, dissemination summary reports, and manuscripts.
- Help to produce resources and programming code that is generalizable to a range of country contexts, including an R package.
- Analyze, interpret, and report study findings.
- Participates in planning, analysis, and interpretation of data.
Other
- Good organizational, written and verbal communication skills to manage multiple programs.
- Effective interpersonal skills in dealing with a variety of constituents including faculty, staff, students, community members and funders.
- Able to effectively prioritize and work on multiple tasks with concurrent deadlines and demonstrate excellent time management skills and efficiency.
- Ability to follow-through independently in accomplishing program goals and objectives.
- Attention to detail.
