Clinical Research Coordinator

Job Summary

The Clinical Research Coordinator will perform independently or with general direction at the fully operational journey level of the series to execute, manage, and coordinate research protocols, as directed by the Clinical Research Supervisor and/or Principal Investigator (PI); may coordinate the data collection and operations of several concurrent clinical research studies under the guidelines of research protocols, UCSF and regulating agency policies.

A successful candidate must have a minimum intermediate Spanish-language fluency and the ability to conduct interviews in Spanish. Incumbent’s duties may include, but will not be limited to supporting the management and coordinating the tasks of single or multiple clinical research studies, depending on their size and complexity; act as intermediary between services and departments while overseeing data and dried blood spot specimen management;

manage and report on study results; create, clean, update, and manage REDCap databases and comprehensive datasets and reports; coordinate staff work schedules, assist with training of Assistant CRCs, and assist Clinical Research Supervisor and/or PI with oversight of other research staff; manage Investigator’s protocols in the Committee on Human Research online system, as well as renewals and modifications of protocol applications and the implementation of new studies;

participate in the review and writing of protocols to ensure institutional review board approval within University compliance; help assure compliance with all relevant regulatory agencies; oversee study data integrity; implement and maintain periodic quality control procedures; interface with departments to obtain UCSF approval prior to study initiation; maintain all regulatory documents; report study progress to investigators; participate in any internal and external audits or reviews of study protocols;

and perform other duties as assigned.

Note
:
This is a limited 18 month position.

Salary range: $34.32 - $55.19 hourly.

To learn more about the benefits of working at UCSF, including total compensation, please visit: (Use the "Apply for this Job" box below)..html

Full Time

The Division of Prevention Science is a leading force in prevention research innovation. We conduct transformative research, bridging communities and overcoming health inequities through high‑impact prevention. The division was established within the Department of Medicine in 1991 and is the administrative home of the Center for AIDS Prevention Studies (CAPS), and the Prevention Research Center (PRC). The division is committed to advancing knowledge in prevention and has extensive expertise in social and behavioral research applied to prevention science and the development of effective prevention interventions across several disease domains.

The research focus is risk behavior and reduction; epidemiology of the virus; evaluation of HIV testing procedures, demographic variables and sexual self‑identification; and training for providers who care for HIV AIDS patients. While much of the work in DPS has traditionally focused on HIV/AIDS, many investigators are doing important work in other fields including cardiovascular disease, cancer, mental health, and substance abuse.

The Division is composed of approximately 35 academics (faculty, fellows and specialists) and 45 non‑academic staff who come from a variety of social, behavioral and policy science academic disciplines, including psychology, sociology, anthropology, epidemiology, history, political science, economics, demography, nursing, pharmacy and statistics.

The Division is home to three federally funded research centers that provide valuable infrastructure support:
1) The Center for AIDS Prevention Studies, funded by the National Institute of Mental Health;
2) The UCSF Prevention Research Center, funded by the Centers for Disease Control and Prevention;
3) three evaluation centers funded by the Health Resources and Services Administration; and
4) a newly‑funded research coordinating center to reduce disparities in multiple…