Job description

We seek a highly motivated and collaborative Research Data Analyst to join an big data research team focused on improving care quality and health outcomes for people with rheumatologic conditions ( The Research Data Analyst must have strong quantitative skills and experience working with large data sets and SQL programming. Our research team conducts observational studies using electronic health record data and national patient registry data. The Research Data Analyst will closely work with the Principal Investigator and other project staff. Excellent interpersonal and communication skills are required to efficiently and effectively work with statisticians, co-investigators, research staff, postdoctoral fellows, and graduate students.

The Research Data Analyst will be asked to ensure data quality (assessing data completeness, cleaning, verification, reliability and validity of study variables, and identifying and addressing data gaps and missing data), prepare data for analysis, conduct statistical analysis in support of research proposals and protocols and independently plan studies or supervise lower level analysts in large, complex studies This Data Analyst will assist in preparing the dissemination of findings (e.g. slide presentation, tables, figures, PubMed search), and in submitting IRB approvals and modifications.

Department Description

The Rheumatology Quality and Informatics Lab (QUIL) at UCSF is led by Drs. Gabriela Schmajuk and Jinoos
Yazdany focuses on clinical informatics and health services research in rheumatic disease from a multidisciplinary
perspective. Research areas include the evaluation of performance on key rheumatology clinical quality measures,
comparative effectiveness and safety of medications used to treat rheumatic conditions, and the use of health
information technology that enables health care providers to better manage patient care through secure use and
sharing of health information. We were recently named a Data Analytic Center for rheumatology’s national patient
registry (called “RISE”) and are building the team that will manage and analyze this new data source (>10 million
patient encounters, and growing).

The Division of Rheumatology is a part of the Department of Medicine (DOM) at UCSF. The mission of the Rheumatology Division includes research, teaching and patient care. The Division has activities at multiple sites including Parnassus, Laurel Heights and Mission Bay. The Division runs several clinical practices, conducts basic and clinical research, and educates medical students, residents, clinical fellows and postdoctoral scholars. In addition, the Division has significant and complex financial and administrative relationships with DOM and the UCSF Medical Center, as well as large patient care programs, large clinical, federal, and privately supported research programs and seven faculty laboratories. The Rheumatology Division has 17 full-time faculty, nine clinical fellows, seven post-doctoral research fellows, seven WOS faculty, and 23 research and administrative staff. The Division has a sponsored research portfolio of $10+ million per year including over 40 sponsored awards, as well at the Russell Engleman Rheumatology Research Center which has an endowment principal of $30 million and generates income of $1.3 million per year in support of its clinical, research, training, and service missions. The PREMIER Center is a P30 resource-based core center funded by NIH / NIAMS. Its mission is to promote research in precision medicine across the UCSF campus through the provision of specific services, consultations, educational activities, and pilot funding.

Required Qualifications

  • Bachelor's degree in related area and minimum three years experience or equivalent combination of experience / training.
  • Thorough skills associated with statistical analysis and systems programming.
  • Thorough knowledge of research function.
  • Research skills at a level to evaluate alternate solutions and develop recommendations.
  • 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.

Preferred Qualifications

  • Master’s degree in related area
  • Experience working with large data sets and SQL programming

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 at

Join us to find a rewarding career contributing to improving healthcare worldwide.

Equal Employment Opportunity

The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.



Job Code and Payroll Title

006257 RSCH DATA ANL 3

Job Category

Professional (Non-Clinical), Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class





Zuckerberg San Francisco General (ZSFG)



Shift Length

8 Hours

Additional Shift Details

Monday - Friday 8:00am - 5:00pm

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