Research Assistant

Focuses on the organization, management, and archiving of research data for a variety of studies, projects, and initiatives. Supports research programs by ensuring data integrity, accessibility, and compliance with institutional guidelines for secure data handling and storage. Assists with the development and implementation of data management protocols, maintains detailed documentation of data workflows, and collaborates with research team members to ensure proper data organization and version control. Provides support for data queries, tracking, and updates to facilitate efficient project progression and reporting.

The Research Assistant is ideally suited for recent university graduates who want to gain research experience and strengthen their preparation for MD or PhD studies after earning a Bachelor’s or Master’s degree. The anticipated term for this position is one year. The primary focus of this role is supporting multicenter pediatric trauma research by organizing, archiving, and managing large multimodal datasets, as well as contributing to analytical studies related to machine learning, clinical decision rules, and time-to-intervention evaluations.

Responsibilities include curating, organizing, and archiving research data across multiple studies; maintaining meticulous version control and data documentation; collaborating closely with research fellows, data scientists, and faculty on dataset development and preparation for analysis; assisting with data exploration, quality control, and troubleshooting; synthesizing literature related to trauma, clinical decision rules, and diagnostic imaging; and preparing research reports, abstracts, and figures for presentations and publications.

This role offers the opportunity to develop essential research and data management skills using real-world clinical datasets, with exposure to advanced computational tools and professional development through collaboration with multidisciplinary teams. Candidates with interests in clinical research, pediatric emergency medicine, computer vision, or data science are highly encouraged to apply. The ideal candidate is self-directed, detail-oriented, and an effective communicator in both written and spoken English. Prior research experience is a plus but not required.