Clinical Image Analyst

About the role

Join the Save Sight Institute at the University of Sydney as a Clinical Image Analyst and contribute to innovative neuroimaging research focused on advancing understanding of multiple sclerosis pathology, progression, and imaging biomarker development. We are seeking a highly experienced MRI Lesion Segmentation Analyst to perform detailed manual lesion segmentation and quality-controlled lesion mask generation for large-scale multiple sclerosis imaging studies and emulated clinical trial datasets. This role requires extensive expertise in the identification and delineation of MS pathology on brain MRI, including a deep understanding of neuroanatomy, white matter lesion characteristics, and MRI appearance of chronic MS lesions across longitudinal studies. The successful candidate must have advanced experience using JIM software (Xinapse Systems), with a minimum of several years' experience in MS lesion segmentation using this platform specifically. Reporting under broad supervision, you will apply your technical judgement and attention to detail to perform complex image analysis activities, manage imaging datasets, and contribute to the continuous improvement of neuroimaging workflows and methodologies. You will also play an important role in supporting research outputs, including publications, presentations, and grant-related activities, within a collaborative and research-intensive environment. Your key responsibilities will be to: Generation and refinement of high-precision lesion masks from longitudinal MRI datasets, rigorous quality control, and independent handling of complex lesion analysis workflows used in clinical research studies The role requires exceptional attention to detail, consistency, and the ability to work independently within a specialised neuroimaging research environment where lesion segmentation accuracy is critical for downstream biomarker analysis and clinical trial emulation studies. Perform manual and semi-automated lesion segmentation and masking of MRI brain scans, including T1-weighted, T2-weighted, and FLAIR sequences, to support high-quality neuroimaging research outcomes. Assess MRI datasets for image quality, protocol adherence, and suitability for analysis, ensuring accurate and reproducible imaging-derived data. Conduct longitudinal review of serial MRI studies to identify lesion progression and radiological change over time within the MAD-MS study. Organise, maintain, and archive imaging datasets, lesion masks, and associated documentation in accordance with study protocols and research governance requirements. Apply quality assurance processes and standard operating procedures to maintain consistency, integrity, and reproducibility across imaging analysis workflows. Collaborate with investigators, clinicians, and research staff to provide technical imaging expertise and contribute to publications, presentations, and grant submissions. About you Relevant tertiary qualifications in medical imaging, neuroscience, biomedical science, or a related discipline, with demonstrated experience in MRI image analysis and lesion segmentation. Strong knowledge of neuroanatomy and the radiological manifestations of neurological disease, with the ability to apply specialised technical expertise within established research protocols. Exceptional attention to detail and analytical capability, with experience performing accurate and reproducible technical image analysis and quality assurance activities. Well-developed organisational skills with the ability to manage imaging datasets, documentation, and competing priorities in a research environment. Experience working within neuroimaging research environments, ideally involving multiple sclerosis or neurological disease research, with exposure to specialised neuroimaging software platforms for image segmentation and analysis. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Simil

Benefits

Additional Information

Part-time (21 hours per week), until 31 December 2027, based at the Sydney Eye Hospital Centre Block Advance cutting-edge multiple sclerosis research by applying your neuroimaging expertise within a collaborative and globally recognised research environment at the Save Sight Institute Base Salary $103,185 - $111,237 (pro-rata) + 17% superannuation

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at usyd? Share your experience