University of Melbourne12 followers51 jobs

Data Coordinator

Mid levelFull-timeOfficeParkville NSW 2337, AustraliaProfessional servicesDataPosted 1 week agoVerified 1 week ago
Pending fitX of Y criteria met

About the job

This job is about coordinating critical trial data for the SNAP golden staph study at the University of Melbourne. By shaping secure, analysis-ready datasets, you will play a vital role in influencing future infection treatments and global practice guidelines. The team thrives on collaboration, learning, and a commitment to advancing public health.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

🌍

Coordinating trial data

Coordinate complex international clinical trial data for the SNAP golden staph study, shaping secure, analysis-ready datasets that underpin evidence-based treatment decisions and global practice guidelines.
📚

Developing data dictionaries

Develop and maintain comprehensive data dictionaries across all SNAP electronic data capture systems.
✅

Implementing data management processes

Implement data management processes that meet GCP, privacy and quality assurance requirements.

Key criteria

📊

Clinical trial data management experience

Demonstrated experience managing clinical trial data for analysis.

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🔍

Proficiency in data analysis tools

Experience using R, Stata, Python, or SAS for data analysis.

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📜

Knowledge of GCP compliance

Understanding of Good Clinical Practice standards in data management.

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A meaningful career starts with a match

View your fit

5 criteria for this job
Clinical trial data management experience
Demonstrated experience managing clinical trial data for analysis.

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Proficiency in data analysis tools
Experience using R, Stata, Python, or SAS for data analysis.

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Knowledge of GCP compliance
Understanding of Good Clinical Practice standards in data management.

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Experience with EDC platforms
Proven experience with electronic data capture systems like REDCap.

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Degree in relevant field
Hold a degree in epidemiology, biomedical science, or related discipline.

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