Global Research Data Architect for Biomedical AI

UCSF Health; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

The Savic Integrated Pharmacology Laboratory at UCSF is seeking a Research Data Manager/Database Administrator to architect and maintain scalable data systems for multi-center research, enabling machine learning and quantitative analyses in translational pharmacology.

You will design data collection processes, harmonize complex datasets across partners, and develop SOPs aligned with NIH DMS policies. Strong collaboration with scientists and engineers is essential.

Qualifications

• Bachelor's degree or equivalent in a related field.
• Minimum 3 years in database design, data pipelines, and harmonization.
• Experience in NIH/research data environments is preferred.

Responsibilities

• Build the Data Engine: develop and manage scalable relational databases and automated pipelines for multi-center research.
• Own the Data Lifecycle: capture, validate, transform, and store data across partners; harmonize datasets.
• Architect DMS Solutions: design data management and sharing plans with security and access control.
• Ensure Research Compliance: align practices with NIH, institutional, and regulatory requirements.
• Drive Data Harmonization: integrate fragmented preclinical and clinical trial datasets with partners.
• Establish Technical Standards: create SOPs and data-quality frameworks aligned with DMS and FAIR.
• Train and Enable Researchers: produce materials and train investigators on data governance and quality.
• Generate Scientific Reports: produce listings, summaries, visuals, and analyses for publications and regulatory documents.
• Fuel Advanced Analytics: support visualization and modeling for ML and statistical pipelines.

Skills

SQL

Python

Data modeling

Data governance

Education

Bachelor's degree

Master’s degree (preferred)

Tools

Stata

SAS

FHIR

Job description

The Savic Integrated Pharmacology Laboratory at UCSF is seeking a Research Data Manager/Database Administrator to architect and maintain scalable data systems for multi-center research, enabling machine learning and quantitative analyses in translational pharmacology.

You will design data collection processes, harmonize complex datasets across partners, and develop SOPs aligned with NIH DMS policies. Strong collaboration with scientists and engineers is essential.