Research Data Analyst I

UCSF • San Francisco, CA

2d

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 using 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 analyst works on assigned components of a longitudinal clinical and biomarker dataset with limited scope and complexity, using established procedures and tools. The role involves gathering, analyzing, and interpreting research data; conducting research activities such as selecting data samples and analyzing collected information using established statistical methods; developing recommendations from research findings; and preparing reports, charts, tables, and other visual aids to communicate data and results.

Requirements

• 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

• At least 6 months of experience working with research, clinical, or other structured data using spreadsheets, databases, or comparable data-management tools.
• 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