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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.
% of time |
Essential Function (Yes/No) |
Key Responsibilities (To be completed by Supervisor) |
30 |
Yes |
Conduct statistical and computational analysis of multimodal neuroimaging and behavioral datasets, including regression modeling, multivariate analysis, and machine learning approaches. |
20 |
Yes |
| Process, curate, and integrate large-scale neuroimaging and behavioral data; maintain data quality and integrity across pipelines. |
|
10 |
Yes |
Assists with study design proposals and survey instruments. |
10 |
Yes |
Develop and maintain analytical scripts, automation tools, and reporting workflows (e.g., data visualization, slide generation, REDCap integrations). |
10 |
Yes |
Contribute to study design, survey instruments, and development of research protocols |
10 |
Yes |
Prepare reports, figures, and datasets for internal review, presentations, and publications. |
10 |
Yes |
Maintain and expand knowledge in data storage architecture, documentation practices, and reproducible research workflows. |
100% |
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(To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) |
Required Qualifications:
- Bachelor's degree in statistics, applied mathematics, computer science, data science, neuroscience, engineering, psychology, or a related quantitative field and/or equivalent combination of education and relevant experience.
- Proficiency in statistical analysis and programming (e.g., Python, R), including regression modeling, multivariate analysis, and data visualization.
- Demonstrated knowledge of research design, data structures, and analytic methodologies used in behavioral and neuroimaging research.
- Ability to manage multiple projects simultaneously and meet deadlines in a research environment.
- Strong problem-solving skills and ability to independently develop and debug analytical workflows.
Ability to preprocess, quality-check, and harmonize complex datasets from multiple sources.
Preferred Qualifications:
- Master's degree in statistics, data science, computer science, neuroscience, bioengineering, or related quantitative field.
- Experience with version control systems (e.g., Git/GitHub) and reproducible research practices.
- Experience with machine learning methods and predictive modeling in research applications.
- Experience working with neuroimaging data (e.g., structural MRI, diffusion imaging).
About UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world's leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells.
Pride Values
UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence - also known as our PRIDE values.
In addition to our PRIDE values, UCSF is committed to equity - both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available here.
Join us to find a rewarding career contributing to improving healthcare worldwide.
Equal Employment Opportunity
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Salary Information
The final salary and offer components are subject to additional approvals based on UC policy.
Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Required Qualifications:
- Bachelor's degree in statistics, applied mathematics, computer science, data science, neuroscience, engineering, psychology, or a related quantitative field and/or equivalent combination of education and relevant experience.
- Proficiency in statistical analysis and programming (e.g., Python, R), including regression modeling, multivariate analysis, and data visualization.
- Demonstrated knowledge of research design, data structures, and analytic methodologies used in behavioral and neuroimaging research.
- Ability to manage multiple projects simultaneously and meet deadlines in a research environment.
- Strong problem-solving skills and ability to independently develop and debug analytical workflows.
Ability to preprocess, quality-check, and harmonize complex datasets from multiple sources.
Preferred Qualifications:
- Master's degree in statistics, data science, computer science, neuroscience, bioengineering, or related quantitative field.
- Experience with version control systems (e.g., Git/GitHub) and reproducible research practices.
- Experience with machine learning methods and predictive modeling in research applications.
- Experience working with neuroimaging data (e.g., structural MRI, diffusion imaging).
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University of California - San Francisco
34.48
May 19, 2026