Senior Research Data Architect — Neural Data Pipelines

University of California, San Francisco; San Francisco (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

The University of California, San Francisco is seeking a Research Data Analyst to serve as the Research Data Manager on the ARIA project. They will transform raw signals from hardware into structured, analysis-ready datasets and build data pipelines using modern tooling.

Primary responsibilities include coordinating data distribution across departments, designing robust storage with formats like TileDB or SQLite, and collaborating with multi-disciplinary teams on statistical and computational

Qualifications

• Bachelor's degree in related area and/or equivalent experience.
• Minimum of 3 years of related experience.
• Thorough knowledge of research function.
• Thorough skills associated with statistical analysis and systems programming.
• Thorough skills in analysis and consultation.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing.
• Skills in project management.
• Research skills at a level to evaluate alternate solutions and develop recommendations.

Responsibilities

• Transform raw data into structured, analysis-ready datasets.
• Build data pipelines and storage architectures.
• Collaborate with multi-disciplinary teams and coordinate data distribution.
• Prepare reports, charts, and visual aids to communicate results.
• Ensure data quality and adherence to protocols.
• Integrate hardware outputs with clinical capture systems like REDCap.

Skills

Statistical analysis

Systems programming

Communication

Project management

Research skills

Data interpretation

Education

Bachelor's degree in related area

Job description

The University of California, San Francisco is seeking a Research Data Analyst to serve as the Research Data Manager on the ARIA project. They will transform raw signals from hardware into structured, analysis-ready datasets and build data pipelines using modern tooling.

Primary responsibilities include coordinating data distribution across departments, designing robust storage with formats like TileDB or SQLite, and collaborating with multi-disciplinary teams on statistical and computational