Research Data Analyst I
University of California, San Francisco
About the Role
The UCSF Pulmonary Division conducts NIH-funded translational and clinical research. The Shum laboratory studies COPA syndrome and related immune-mediated lung diseases. This position will support an NIH/NCATS R21TR005838 grant evaluating interferon scores and phosphorylated STING measurements in relation to clinical phenotype, disease activity, treatment, laboratory data, and patient-reported outcomes.
Under direct supervision, supports research data collection, management, quality control, integration, and basic analysis for a defined NIH-funded translational research project. Works on assigned components of a longitudinal clinical and biomarker dataset with limited scope and complexity, using established procedures and tools.
Key Responsibilities
- Gather, analyze, and interpret research data.
- Design and conduct research, including selecting data samples and developing research instruments.
- Analyze collected information according to established statistical methods.
- Develop recommendations based on research findings.
- Prepare reports, charts, tables, and other visual aids to interpret and communicate data and results.
- Supports research data collection, management, quality control, integration, and basic analysis.
- Manages assigned work, maintains accurate documentation, and completes tasks by established deadlines.
- Performs other duties as assigned.
Requirements & Tech Stack
- Spreadsheets, databases, or comparable data-management tools.
- REDCap or a comparable research database/data-management system.
- R, GraphPad Prism, Excel, or similar tools for quantitative data management or analysis.
Qualifications
- Bachelor's degree in a related area and / or equivalent experience / training.
- At least 6 months of experience working with research, clinical, or other structured data.
- Ability to learn and apply established procedures for research data collection, quality control, and basic analysis.
- Basic written and verbal communication skills.
- Ability to work effectively in a multidisciplinary research team.
- Familiarity with human-subjects research, clinical research data, or biomedical research involving longitudinal participant data.
- Familiarity with clinical or translational research involving rare diseases, immunology, or monogenic disorders.