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MED-CORE-CARD
Full Time
77259BR
Job Summary
The Clinical Research Coordinator (CRC) 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 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. The initiative this position supports is expected to take approximately two years.
The CRC'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 specimen management; manage and report on study results; create, clean, update, and manage databases and comprehensive datasets and reports; coordinate staff work schedules, and assist Clinical Research Supervisor and/or PI with oversight of other research staff; manage Investigator's protocols in the Committee on Human Research (CHR) 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; interface with collaborating investigators within the UCSF system and other institutions around the country; maintain all regulatory documents; report study progress to investigators; and participate in any internal and external audits or reviews of study protocols.
The primary project will be to work with the PI to implement the Aims of several grant-funded projects including: a randomized trial of the effects of smoking cannabis versus avoiding it among ambulatory individuals wearing continuously recording ECGs, glucose monitors and Fitbits; a digital mobile app-based study to collect data from patients undergoing catheter ablation procedures for atrial fibrillation; a cohort study assessing effects of both long-term and short-term tobacco smoke exposure on heart health; working with a large Digital Research Infrastructure, including enrolling participants and interviewing them about their experience utilizing a novel Covid-19 Contact Tracing Technology. This will include: identifying and recruiting patients/participants; maintaining all regulatory elements (including CHR requirements); drafting and implementing research protocols; creating and managing data and databases; creating, organizing, and curating data sheets; developing and following operations manuals; working with patients/participants to ensure retention and compliance with protocols; working with physicians and nurses to correctly implement research protocols; delivering intravenous medications or placebo; obtaining electrophysiology measurements (to be trained if needed); fitting patients with Holter monitors, event monitors, and alcohol wrist sensors (to be trained if needed); processing biospecimens; answering phone calls and emails from patients/participants and collaborating investigators; scheduling patient/participant visits as well as investigator meetings (including coordinating with members of the Data Safety Monitoring Board - DSMB and scheduling meetings and preparing documents for those meetings); drafting grants, manuscripts, abstracts, and CHR applications/modifications; working with the research pharmacy to deliver masked drug and placebo; and organizing all study-related materials, including paper and electronic forms. Duties will also include measurements of data obtained from Electrocardiography (ECG) recordings (both surface and intracardiac) and consenting and scheduling patients for various visits.
The final salary and offer components are subject to additional approvals based on UC policy.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles)
Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html
Department Description
The Marcus laboratory studies deep and machine learning methods for biomedical imaging and related clinical data, with the goals of decreasing diagnostic error and developing and scaling novel phenotypes to drive precision medicine research. UCSF is a top-10 medical center and a leader in cross-campus efforts to mine, harmonize, and analyze multi-modal clinical data for the University of California's 15 million patients. The Marcus laboratory is part of both the Bakar Computational Health Sciences Institute, where the aforementioned efforts are based, and the nationally ranked Department of Medicine. Projects focus on deep learning for medical imaging, and through collaborative work with intra- and inter-institutional partners, touch the electronic health record, genetics, and other sources of data.
Learn more about Dr. Marcus here.
Required Qualifications
Preferred Qualifications
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.
Organization
Campus
Job Code and Payroll Title
009335 CLIN RSCH CRD
Job Category
Research and Scientific
Bargaining Unit
University Professional Technical Employees - Research Support Professionals Unit (UPTE-RX)
Employee Class
Career
Percentage
100%
Location
Parnassus Heights (SF)
Shift
Days
Shift Length
8 Hours
Additional Shift Details
Monday - Friday, 8:00am - 5:00pm
Full Time
Transportation
$85k-111k (estimate)
03/29/2024
05/28/2024
ucsf.edu
SAN FRANCISCO, CA
15,000 - 50,000
1873
DAESUNG SHIA
$10B - $50B
Transportation