REDCap-Focused Clinical Data Systems Specialist

University of Sydney; Gloucester; Hybrid; AUD 103,000 - 124,000; Full time

Job summary

The University of Sydney is seeking a Clinical Data Systems Coordinator to support the design, development, testing and maintenance of clinical data systems for trials. Based at Chris O’Brien LifeHouse with a hybrid working arrangement, the role focuses on delivering reliable data capture and study support.

You will collaborate with researchers, clinicians and project teams to ensure high-quality data systems across multiple projects, with a strong emphasis on data quality, documentation, and

Qualifications

• Demonstrated, extensive experience working with REDCap.
• Experience with other clinical data systems is welcome but not required.
• Experience supporting study development within a clinical research environment.
• Strong stakeholder engagement skills and ability to build cross-functional relationships.
• Attention to detail and commitment to data quality.

Responsibilities

• Design, develop and test clinical data systems for clinical trials including data entry forms and validation rules.
• Collaborate with project managers, clinical data managers, clinicians, biostatisticians to deliver study requirements for data systems in production environments.
• Develop and maintain documentation, procedures and testing plans.
• Provide user support and training to clinical research staff.
• Ensure systems comply with relevant regulations and SOPs.

Skills

REDCap

Stakeholder engagement

Data quality

Documentation

Training and user support

Job description

The University of Sydney is seeking a Clinical Data Systems Coordinator to support the design, development, testing and maintenance of clinical data systems for trials. Based at Chris O’Brien LifeHouse with a hybrid working arrangement, the role focuses on delivering reliable data capture and study support.

You will collaborate with researchers, clinicians and project teams to ensure high-quality data systems across multiple projects, with a strong emphasis on data quality, documentation, and