Research Assistant
On-site · Parkville, Victoria, Australia
Job Summary
Research Assistant needed to support translational and real-world evidence projects in the Gibbs Laboratory, focusing on clinical/molecular/laboratory data management, data extraction from electronic medical records, and integration/validation of multi-source datasets. Responsibilities include data extraction, cleaning, validation, mapping, and integration of diverse data sources; contributing to research outputs (reports, presentations, abstracts, manuscripts); and supporting laboratory and biospecimen-related activities. The role emphasizes collaboration across clinical, laboratory, and data-focused projects, and requires strong data management, scripting (R/SQL/Python), and communication skills. Availability for 12 months at part-time (0.4 FTE) with salary in the listed range and attractive superannuation packaging; located in Parkville, Victoria, Australia.
Required Qualifications
- BSc with Honours or Masters in an appropriate area of study
- Demonstrated research experience working with clinical, laboratory, or research data in a biomedical or healthcare environment
- Strong computer skills and ability to accurately record data, results and the development of new methods and theories
- Project management, excellent oral and written communication and reporting skills
- Experience with clinical registries, electronic medical records, or data extraction processes
- Familiarity with data cleaning, validation, and database structure/mapping
- Experience with scripting or analytical tools such as R, SQL, or Python
- Laboratory research experience, including biospecimen handling or molecular techniques
- Experience supporting digital research workflows, including collating and maintaining online research resources, databases, and website content
- Willingness to take direction and have progress reviewed where required
Desired Qualifications
- BSc with Honours or Masters in an appropriate area of study
- Experience with clinical registries, electronic medical records, or data extraction processes
- Strong computer skills and ability to accurately record data
- Project management and reporting skills
- Experience with scripting or analytical tools such as R, SQL, or Python
- Laboratory research experience including biospecimen handling or molecular techniques
- Digital research workflows and automation interest
- Excellent oral and written communication and ability to work in a team
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