Clinical Research Coordinator

University of California San Francisco•San Francisco, CA

3d•$34 - $55

About The Position

The Clinical Research Coordinator (CRC) position exists to facilitate and ensure the successful execution of our clinical research studies, with a primary focus on an AI-driven project aimed at improving patient selection for a Transitional Pain Service (TPS). The position bridges cutting-edge artificial intelligence technology with clinical workflows, driving meaningful impact on patient outcomes and resource optimization. The CRC will independently manage and coordinate research protocols, oversee data collection and analysis, and maintain regulatory compliance. Key responsibilities include managing multiple concurrent clinical studies, interfacing with healthcare teams to optimize workflows, ensuring data integrity through quality control, and contributing to publications and presentations. The role also supports the research team by coordinating staff schedules, assisting with training, and handling institutional and regulatory submissions. This position is critical for ensuring the smooth integration of the AI model into UCSF’s clinical workflows, tracking patient outcomes, and iterating on processes to refine the model’s impact. 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. The salary range for this position is $34.32 - $55.19 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html HS graduation and sufficient experience and demonstrated skills to successfully perform the assigned duties and responsibilities; and/or equivalent experience/training.

Requirements

HS graduation and sufficient experience and demonstrated skills to successfully perform the assigned duties and responsibilities; and/or equivalent experience/training.
Communication and Interpersonal Skills: Excellent verbal and written communication skills, with the ability to collaborate effectively across diverse subject populations, interdisciplinary healthcare teams, and external institutions.
Attention to Detail: Demonstrated ability to maintain accuracy and consistency in managing clinical workflows, data collection, and regulatory documentation for research studies involving cutting-edge technologies.
Organizational Skills: Proven capacity to multitask in a fast-paced environment, prioritize multiple concurrent projects, and meet tight deadlines while maintaining high standards.
Independent and Team-Oriented Work: Ability to work autonomously, complete projects efficiently, and contribute to a collaborative team environment by adapting to evolving project needs.

Nice To Haves

Bachelor’s degree in a relevant field (e.g., computer science, life sciences, or related disciplines)
Competence with Python programming and basic statistical/data analysis tools.
Familiarity with managing databases, maintaining data integrity, and using electronic health record (EHR) systems such as Epic.
Expertise in database management and machine learning projects using Python, with a focus on managing clinical and machine learning data for outcome tracking and model refinement.
Experience working with Epic EHR systems to streamline workflows and support the integration of machine learning models in clinical practice.
Demonstrated ability to build rapport with diverse surgical patient populations, particularly those at risk for chronic post-surgical pain, providing realistic and empathetic insights into patient participation.
Experience coordinating multidisciplinary teams and adapting clinical workflows to incorporate novel AI-driven interventions.
Proven ability to adhere to institutional training requirements, including Environmental Health and Safety, Fire Safety, and Effective Cash Handling Procedures, while ensuring compliance with UCSF’s high standards for patient and data safety.
Proficiency with the Committee of Human Research (CHR) online iMEDris system for protocol submissions, renewals, and modifications, ensuring adherence to Good Clinical Practice (GCP) Guidelines and the Protection of Human Research Subjects.
Familiarity with clinical policies and procedures related to research, reimbursement, confidentiality, and HIPAA compliance, with a clear understanding of the mission of improving patient outcomes and safety.