Research Assistant Project Manager

About the role

The Research Assistant/Project Manager works with the Division of Clinical Informatics and Digital Transformation (DoC-IT) faculty and staff, collaborating closely with external researchers and clinical and business stakeholders within the UCSF Health system on DoC-IT projects. This role provides project management, analytical, and administrative support for research initiatives focused on advancing the use of digital health in applied clinical informatics research.

Responsibilities

• Coordinate project activities, including scheduling and facilitating meetings, documenting decisions and action items.
• Develop and maintain project timelines, work plans, and project documentation.
• Support communication among investigators, project staff, and external stakeholders.
• Support research implementation activities through development of study materials, participant outreach and coordination, and tracking project progress and deliverables.
• Conduct literature reviews, prepare reports and presentations, proofread manuscripts, and manage references.
• Maintain project tracking systems and monitor compliance requirements (e.g., IRB submissions, training requirements).
• Track grant and reporting deadlines.
• Provide administrative support such as processing purchase orders and invoices.

Qualifications

Required Qualifications

• Bachelor's degree in a related area (public health, biology, health policy, health informatics, etc.) and one or more years of relevant experience and/or equivalent experience/training.
• Working knowledge of common organization- or research-specific and other computer application programs (MS Office Suite, reference management software, project management software).
• Proficient in communication and interpersonal skills to communicate effectively, both verbally and in writing.
• Ability to use discretion and maintain confidentiality.
• Demonstrated ability to use sound judgment in responding to issues and concerns.
• Proficient in multi-tasking with demanding timeframes.

Preferred Qualifications

• Ability to analyze, research, and synthesize large amounts of data with strong attention to detail.
• Working knowledge of clinical information systems and their role in healthcare delivery organizations.
• Proficient in academic/peer-reviewed literature search techniques, review/abstraction of academic papers, and literature synthesis.
• Familiarity with developing/programming surveys in online survey tools such as Qualtrics.
• Familiarity with qualitative data collection and analysis.

Benefits

• Gain insight into the research, clinical, administrative, and educational functions of a large academic medical center.
• Opportunity to become a more integral member of research projects and provide guidance to them.
• Potential authorship on publications in peer-reviewed journals if standard contribution criteria are met.
• Direct contribution to improving clinical care for patients at UCSF and across the U.S. healthcare system.
• Access to training and learning opportunities within the Bakar Computational Health Sciences Institute, the Institute for Health Policy Studies (IHPS), and other related entities.

About the department

The Division of Clinical Informatics and Digital Transformation (DoC-IT) serves as the academic home for applied clinical informatics researchers within the UCSF Department of Medicine. DoC-IT coordinates with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. The Division has close ties to the Bakar Computational Health Sciences Institute and the Institute for Health Policy Studies at UCSF.

DoC-IT is the home of several research centers and initiatives, including:

• The Center for Clinical Informatics and Improvement Research (CLIIR), which focuses on leveraging Electronic Health Records (EHRs) and other digital data sources to improve clinical performance and healthcare value.
• The Center to Advance Digital Physician Practice Transformation (ADAPT), which advances research on physician practice and experiences of care delivery, particularly regarding interactions with technology.
• UCSF’s Clinical Informatics Fellowship, the Coordinating Center for Diagnostic Excellence (CoDEx), and the Impact Monitoring Platform for AI in Clinical Care (IMPACC).