Research Data Analyst

Job Summary:

Works on research data reporting assignments that are of moderate diversity in scope. Exercises judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.

Daily Tasks / Projects in Progress:

• Oversee data uploads, organization, and tracking across multiple stages of neuroimaging processing.
• Develop and maintain Python-based scripts and analytical workflows to support ongoing research initiatives. 
• Curation and integration of structural MRI and diffusion imaging metrics into comprehensive research datasets.
• Development of machine learning models integrating neuroimaging and behavioral data to predict diagnostic classifications and cognitive outcomes.
• Aggregation and analysis of multi-source datasets for meta-analytic research on math interventions.
• Design and implement automated reporting tools to streamline visualization and presentation of neuroimaging metrics.
• Develop and maintain REDCap-based data systems, including API integrations, dashboard-style dataset summaries, and instrument creation for structured item-level data entry.
• Coordinate interdisciplinary research meetings, document discussions, and support collaborative project development.
• Conduct statistical analyses of multimodal neuroimaging and behavioral datasets, including regression modeling, multivariate approaches, and predictive modeling; interpret findings to inform ongoing research and publication efforts.

Department Overview

Within the ALBA Language Neurobiology Laboratory at the UCSF Fein Memory and Aging Center, directed by Dr. Maria Luisa Gorno Tempini, and the UCSF Dyslexia Center, co-directed by Dr. Gorno Tempini, we investigate the neural basis of language in healthy individuals, individuals with neurodegenerative diseases, including Primary Progressive Aphasia (PPA), and individuals with learning differences such as dyslexia.

We employ a multidisciplinary approach to study language across cognitive, neuroanatomical, and molecular levels, integrating multimodal neuroimaging to characterize the neural architecture of language in PPA and dyslexia and its relationship to behavioral and cognitive outcomes.

The mission of the UCSF Dyslexia Center is to eliminate the debilitating effects of developmental dyslexia while preserving and enhancing each individual’s strengths. We aim to develop best-practice protocols to implement tailored interventions in classrooms nationwide. In collaboration with schools and educators, we translate research findings into early interventions and evidence-based educational strategies that help children with dyslexia thrive.