Data Coordinator

Responsibilities

• Develop and maintain comprehensive data dictionaries across all SNAP electronic data capture systems
• Prepare, clean, and transform trial datasets for interim and final analyses to ensure integrity and reproducibility
• Oversee data corrections and access requests, providing well-documented datasets for internal and external collaborators
• Liaise with unblinded statisticians, trial managers, and committees to support timely, compliant analyses and reporting
• Implement data management processes that meet GCP, privacy, and quality assurance requirements

Requirements

• Degree in epidemiology, biomedical or health science, data management, or a related public health discipline
• Experience querying, extracting, and manipulating clinical trial data, including producing robust documentation
• Proficiency with clinical trial EDC platforms such as REDCap or similar systems
• Experience using analysis tools such as R, Stata, Python, or SAS, ideally alongside SQL-based data management
• Strong knowledge of ethics, confidentiality, security, privacy, and GCP within clinical trial or health data environments
• Ability to support large, multi-site, or international research projects while managing competing deadlines

Benefits

• Competitive salary with 17% superannuation
• Supportive flexible work arrangements and progressive leave provisions (including parental, gender affirmation, and cultural leave)
• Career development opportunities and access to tailored learning programs
• Salary packaging and access to various discounted services
• Comprehensive health and well-being services, including an Employee Assistance Program

About the Company

The University of Melbourne is a world-leading institution dedicated to benefiting society through transformative education and research. You will join the Department of Infectious Diseases at the renowned Peter Doherty Institute, working within a vibrant community of clinicians, scientists, and epidemiologists to tackle major global infectious disease challenges.