- Exciting opportunity to support the new spatial tissue AI research centre of excellence (NCSTAR)
- World-class spatial biology research facilities with a strong translational focus
- Attractive salary packaging & superannuation options
About QIMR Berghofer: QIMR Berghofer (QIMRB) is a world-leading translational medical research institute focused on improving health by developing new diagnostics, better treatments and prevention strategies, specifically in the areas of Cancer, Infection and Inflammation, Brain and Mental Health, and Population Health. Based in Herston, Brisbane and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and non-research staff. About The National Centre for Spatial Tissue AI Research (NCSTAR): The National Centre for Spatial Tissue AI Research (NCSTAR) at QIMRB will serve as a centre of excellence for accelerating scientific and clinical progress in spatial biology. As a collaborative hub for integration of cutting-edge deep learning AI models with state-of-the-art spatial biology research, the NCSTAR will train the next generation of spatial biology researchers, and drive new discoveries to enable the translation of research into clinical applications. NCSTAR staff will work collaboratively across QIMRB and multi-institute partnerships and work closely with QIMRB Scientific Services. The Genomics and Machine Learning Lab (GML) studies cancer and infected tissues in patient samples and mouse models. They generate novel data from spatial and single cell technologies and develop new computational and statistical methods to find clinically important patterns from this complex data. They pioneered the merging of two big data fields, sequencing, and imaging, to advance understanding of pathological processes one cell at a time and across all cells within a diseased tissue. Role Purpose / Responsibilities: We are seeking a Research Assistant to support the newly-established National Centre for Spatial Tissue AI Research (NCSTAR) at QIMR Berghofer (QIMRB). The NCSTAR is a collaborative centre of excellence that will investigate disease mechanisms across oncology, inflammation and infectious disease, neuroscience, and chronic diseases. Reporting to the Director of NCSTAR, the primary role of the Research Assistant is to assist in the operation of the NCSTAR facility and ensure the provision of spatial biology services. This includes providing a range of histology services to clients and conduct of experiments using spatial transcriptomic and spatial proteomic platforms. This position will work in close partnership with other staff in NCSTAR (Research Officer), the Genomics and Machine Learning Lab and core Scientific Services at QIMRB. Working with NCSTAR staff, the Research Assistant will coordinate with QIMRB Scientific Services to ensure the timely execution and scheduling of experiments. In addition, the Research Assistant will provide training to users on an as needs basis, and assist in the development of methods for specialist applications within NCSTAR. About You: The ideal candidate will have first-hand experience with histologic techniques and single-cell spatial proteomic and transcriptomic platforms. You will have very strong inter-personal and communication skills, ensuring the ability to work collaboratively and liaise effectively with colleagues and students. You will have a proven track record in the development of histopathology SOPs. Please refer to the attached Position Description for a more detailed outline of the Responsibilities and key Selection Criteria. Remuneration: Salary range is $38,077 to $46,300 p.a. plus super and generous salary packaging. This is a part--time (0.5 FTE), fixed-term appointment for 3 years. For further information: please contact Quan Nguyen via email Quan.Nguyen@qimrberghofer.edu.au Closing Date: Tuesday, 1 October 2024 Applicants must be an Australian Citizen, Permanent Resident or hold a valid work permit or visa. Work eligibility will be checked as part of the recruitment process. To submit an application: use the APPLY button. All applicants must supply the following documents: Resume and Cover letter addressing the selection criteria outlined in the Position Description. What we offer: - Salary Packaging
- State of the art facilities
- Stimulating work setting focussed on cutting edge medical research
- Supportive and collaborative team environment
- Parental Leave provisions
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