Research Data Analyst I

University of California, San Francisco • San Francisco, CA

1d

About The Position

The UCSF Pulmonary Division conducts NIH-funded translational and clinical research spanning pulmonary disease, immune-mediated disease, and rare disorders. The Shum laboratory studies COPA syndrome and related immune-mediated lung diseases through integrated clinical, translational, and laboratory approaches. This position supports NIH/NCATS R21TR005838, “Validating interferon score and phospho-STING level as disease biomarkers of COPA syndrome,” which evaluates longitudinal interferon scores and phosphorylated STING measurements in relation to clinical phenotype, disease activity, treatment, laboratory data, and patient-reported outcomes.

Under direct supervision, the Research Data Analyst I supports research data collection, management, quality control, integration, and basic analysis for a defined NIH-funded translational research project. The role works on assigned components of a longitudinal clinical and biomarker dataset with limited scope and complexity, using established procedures and tools. Work includes collecting and organizing clinical and biomarker data, maintaining research databases and study documentation, conducting basic descriptive and exploratory analyses under supervision, and preparing data and summaries for the research team.

Requirements

• At least 6 months of experience working with research, clinical, or other structured data using spreadsheets, databases, or comparable data-management tools.
• Ability to learn and apply established procedures for research data collection, quality control, and basic analysis.
• Ability to manage assigned work, maintain accurate documentation, and complete tasks by established deadlines.
• Basic written and verbal communication skills and ability to work effectively in a multidisciplinary research team.
• Bachelor's degree in a related area and/or equivalent experience or training.

Nice To Haves

• Experience with REDCap or a comparable research database/data-management system.
• Experience using R, GraphPad Prism, Excel, or similar tools for quantitative data management or analysis.
• Experience in a clinical, biomedical, or translational research environment.
• 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.

Responsibilities

• Collect and abstract clinical and translational research data, including disease phenotype, disease activity, medications, laboratory measures, and patient-reported outcomes, and prepare data for analysis.
• Maintain REDCap and other approved research databases; perform routine data entry, completeness checks, data cleaning, and discrepancy reconciliation.
• Organize and integrate longitudinal biomarker data, including interferon scores and pSTING measurements, with corresponding participant, visit, specimen, and clinical data.
• Perform basic descriptive and exploratory data analysis under supervision and prepare tables, figures, summaries, and analysis-ready datasets for the research team.
• Maintain study tracking tools, data dictionaries, variable definitions, and documentation of data-management procedures; monitor data availability across study time points.
• Assist with literature review, research documentation, and preparation of data for abstracts, manuscripts, presentations, and NIH reporting.
• Participate in research-team meetings and communicate data-quality issues, study progress, and outstanding data needs to the Principal Investigator and research staff.
• Perform other duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level