HOME Data Analytics & BI Research Data Analyst II
  • UCSF
  • San Francisco, CA
  • Full-Time
  • 79 days ago
UCSF VERIFIED EMPLOYER

Research Data Analyst II.

Data Analytics & BI Full-Time

Research Data Analyst II: our view in 3 lines...

  • The Role:This role is for a research data analyst supporting epidemiologic and genetics studies in the Department of Neurology at UCSF.
  • The Person:The person will conduct statistical analyses, perform data quality control, harmonize study data with external datasets, write up results for publication, assist with progress reports, and prepare preliminary analyses for grant writing.
  • Requirements:The role involves gathering, analyzing, and interpreting research data using established statistical methods, including descriptive statistics, multivariate and longitudinal data analyses, data quality control, and grant writing.

About the role

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. Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.

We are seeking a full-time Data Analyst to become an integral part of our team. We offer a positive environment with dedicated colleagues in the Department of Neurology at UCSF. The Research Data Analyst will support epidemiologic studies, which aim to collect data from people with Parkinson’s disease (PD), people at risk of developing PD, and other research volunteers to answer key scientific questions in the field.   

The Research Data Analyst will be the primary analyst for an observational multicenter study Parkinson’s disease genetics study and will also participate in analyses of other related observational study datasets. 

The Research Data Analyst will have the following responsibilities: 1) conduct primary statistical analyses, including data tabulation and reporting, descriptive statistics, and multivariate and longitudinal data analyses; 2) conduct data quality control 3) contribute to analyses of genetic risk factors for PD among ancestrally diverse samples. Secondary responsibilities include facilitating harmonization of study data with external datasets, interpreting and writing up results for publication, assisting with progress reports; and engaging in grant-writing process including preparation of preliminary analyses. 

We are seeking a candidate who enjoys liaising with multiple study collaborators. The Research Data Analyst should show a strong interest in clinical research and a desire to contribute to the state of knowledge on genetics and other risk factors for Parkinson’s disease. The Research Data Analyst must be able to multi-task, problem-solve, and apply creative solutions to new and unexpected situations with limited supervision.

 

Department Description:

The mission of the Department of Neurology at the University of California, San Francisco (UCSF) includes delivering the most exceptional clinical care to our patients, leading transformative cutting-edge research, and training the leaders of tomorrow in both neurology and neuroscience. Our department’s faculty, trainees, and staff work at a University and in a community that values and embraces diversity and strives to make an impact worldwide through our global and public health efforts.  

 

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
Published July 10, 2026
Location San Francisco, CA
Category Data Analytics & BI  
Job Type Full-Time