Diversity And Inclusion At Unimelb
Health Sciences
DataCoordinator
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Coordinator at Diversity And Inclusion At Unimelb. Skills: clinical trial data coordination, data management, data integrity, reproducibility, GCP compliance. 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”
What You'll Achieve.
shaping future infection treatments; shape secure, analysis-ready datasets that underpin evidence-based treatment decisions and global practice guidelines; support timely, compliant analyses and reporting; turning high-quality data into insights that improve patient care
Industry & Context.
Working with Children Check
What They're Looking For.
Must Have
degree in epidemiology, biomedical or health science, data management or related public health discipline, 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, current valid work rights for Australia, Working with Children Check
Nice to Have
SQL-based data management, GCP-compliant data frameworks
What You'll Do.
Develop and maintain comprehensive data dictionaries across all SNAP electronic data capture systems
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
How You'll Work.
Team & Collaboration
collaborate across continents; Liaise with unblinded statisticians, trial managers and committees; collaborate across an international trial network
Communication Scope
Liaise with unblinded statisticians, trial managers and committees
Full Job Description
**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._](https://about.unimelb.edu.au/) **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 robus
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