Onsite
Role type: Full Time; Fixed Term until June 2027
Location: Parkville
Faculty: Medicine, Dentistry and Health Sciences (MDHS)
Department: Infectious Diseases
Salary: UoM 6 - $100,847 - $109,163 plus 17% super
Global flagship trial on golden staph / build rigorous, GCP-compliant data frameworks / collaborate across continents
Take the next step and apply to coordinate critical trial data shaping future infection treatments.
Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
Your next career opportunity
In this role, you will coordinate complex international clinical trial data for the SNAP golden staph study. You will shape secure, analysis-ready datasets that underpin evidence-based treatment decisions and global practice guidelines.
What you will deliver:
Develop and maintain comprehensive data dictionaries across all SNAP electronic data capture systems.
Prepare, clean and transform trial datasets for interim and final analyses, ensuring 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.
You may be a great fit if you:
Hold a degree in epidemiology, biomedical or health science, data management or related public health discipline.
Demonstrate experience querying, extracting and manipulating clinical trial data, including producing robust data documentation.
Work confidently with clinical trial EDC platforms such as REDCap or similar systems.
Use analysis tools such as R, Stata, Python or SAS, ideally alongside SQL-based data management.
Apply knowledge of ethics, confidentiality, security, privacy and GCP within clinical trial or health data environments.
Support large, multi-site or international research projects while balancing competing deadlines across multiple stakeholders.
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:
Build future financial security with 17% superannuation
Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave
Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
Health and well-being services including a leading Employee Assistance Program
Your new team
You will join the Department of Infectious Diseases based at the world-renowned Peter Doherty Institute. Our teams bring together clinicians, scientists, epidemiologists and public health experts tackling major global infectious disease challenges. You will collaborate across an international trial network, turning high-quality data into insights that improve patient care. We offer a supportive, learning-focused culture with strong clinical partnerships and clear purpose in advancing public health.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.
We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.
Indigenous applicants are encouraged to connect with Korin Korin, our Indigenous Employment and Development team, via korin-korin@unimelb.edu.au
Application essentials:
Visit "apply with us" to learn more about the process, including tips and FAQs.
You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
A separate document addressing the Selection Criteria outlined in the Position Description.
Please note that all of the above documents must be provided for your application to be considered.
Want to know more?
For queries related to this specific position, contact Grace McPhee email at grace.mcphee@unimelb.edu.au
For questions related to our recruitment process email Dijana Pourgoutzidis at hr-careers@unimelb.edu.au
For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').
Apply today and join a community that’s shaping the future.
Applications close: 28 May 2026 at 11:55 PM; Melbourne time zone.
Position Description:
PD_JR-013264 Data Coordinator.pdf
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