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SNAC introduce latest experience in Quantitative Neuroimaging Analysis at GTC Digital

The director of operations in Sydney Neuroimaging Analysis Centre, Tim Wang , is honoured to be one of the featured speakers in healthcare & life science sessions at GTC Digital (GTC 2020) , in which he provides the online presentation: “Accelerate Quantitative Clinical Neuroimaging Analysis with AI: Steps Toward Personalised Disease Progression Monitoring in Clinical Neurology”.



GTC (GPU Technology Conference), is an annual gathering hosted by NVIDIA. GTC attracts professionals in the graphics processing unit (GPU) to share experiences in deep learning, cybersecurity, autonomous machines, intelligent video analysis, healthcare etc. Amidst the outbreak of COVID-19, an online conference - GTC Digital has been facilitated, which covers a range of training, research, insights and lead to “direct access to the brilliant minds of NVIDIA GPU Technology Conference 2020”.



Dr. Tim Wang will share SNAC’s experience in using quantitative neuroimaging analysis to assist extracting further clinical data in diagnostic imaging. By providing a fine scale measure on monitoring brain-tissue changes in the progression of neurodegenerative disease, and following the quality assurance on analysis contributed by radiologists- then implementing deep learning to assign complex analysis into automation, SNAC is able to carry out its goal of improving efficiency and accuracy in modern clinical practice.


For more details please go to the following link:   


For more information please contact:   

Email: info@snac.com.au

Web: snac.com.au

SNAC Scientists attend AIMed Australia 2019


Sydney Neuroimaging Analysis Centre attended AIMed 2019 on 12-13 November in Sydney. Our AI Scientists acknowledged latest findings and experiences of AI in the medical sphere, especially within radiology and neurology.


AIMed, as the world’s leading event on Artificial Intelligence in Medicine and Healthcare, has a mission statement to “define AI-enabled solutions and create an efficient workplace, with patient outcomes at its core”. It aims to utilise advanced technology to assist medical professionals in enhancing their work. Originated in the US, AIMed now has become an annual multi-disciplinary gathering for AI and medical professionals to trace the latest AI concepts and applications in medicine, in Europe, Asia and Australia.


“AIMed has been yearning to be in Australia as some of the World’s best minds in informatics and intelligence in biomedicine are in that region. In order to be excellent at AI in medicine and healthcare, we need to learn about each country’s health system, AI landscape, and how they solve problems using AI. We very much look forward to this exciting opportunity to learn from each other”. AIMed Chairman and Founder, Chief Intelligence and Innovation Officer of Children’s Hospital of Orange County (CHOC) Dr. Anthony Chang.



At SNAC, AI scientists are also passionate about the use of data and algorithms to make a difference on current evidence-based medical imaging and clinical use. We are aware of not only the huge impact Artificial Intelligence is able to provide on fast and accurate automatic diagnosis using medical imaging, but also the inherent challenges needed to be overcome. As well as pushing the precision and recall of AI models to a satisfactory level, our AI scientists also contribute to enhancing present medical imaging analysis tools by using deep learning methods, including automatic brain extraction and automatic lesion implanting.

For more information please contact:   

Email: info@snac.com.au

Web: snac.com.au

Sydney Neuroimaging Analysis Centre showcased its Central Readings Services at ECTRIMS 2019


During 11-13 September 2019, the Clinical Trial Team from SNAC , demonstrated its multimodal turnkey central reading solution for Phase 2 Remyelination Clinical Trials, at ECTRIMS 2019 in Stockholm, Sweden.


ECTRIMS- European Committee for Treatment and Research in Multiple Sclerosis (MS), started in Europe and has served as world’s largest professional organization for acknowledging and treating multiple sclerosis. ECTRIMS creates and collaborates opportunities for researchers and clinicians worldwide to support clinical research and improve outcomes in MS.


Based on its strong neurology and neuroimaging connections with University of Sydney, neuroimaging services provided by SNAC is complemented by its research power, in which it also derives its educational and training strength on MRI-based outcomes interpretation in Morden clinical trialsBased on its strong neurology and neuroimaging connections with University of Sydney, neuroimaging services provided by SNAC is complemented by its research power, in which it also derives its educational and training strength on MRI-based outcomes interpretation in Morden clinical trials.


At ECTRIMS 2019, a diverse team of neurologists, clinical trial professionals and neuroimaging specialist from SNAC and their collaborators shared their latest perspectives on MS in clinical trial practice and neuroimaging analysis. Our showcase has highlighted SNAC’s unique approach to providing accurate measurements of remyelination in both acute and chronic MS lesions, which use visual systems as a platform, and facilitate testing of emerging remyelinating therapies.


For more information please contact:   

Email: info@snac.com.au

Web: snac.com.au

The role of Research Scientist-AI inMedical imaging is to develop and implement AI solutions to improve the productivity and enhance reporting accuracy in clinical imaging practice, and contribute to the AI in Neuroimaging collaboration between the University of Sydney, Sydney Neuroimaging Analysis Centre (SNAC) and I-MED Radiology Network (I-MED).

Context of the Role

The recent Interdisciplinary collaboration between the University of Sydney, SNAC and I-MED will deliver a platform for seamless AI integration into clinical radiology workflows; and develop neuroimaging algorithms that will set a benchmark in diagnostic imaging, drive industry automation and productivity and mine hitherto untapped quantitative imaging data to improve health outcomes.  The collaboration is centred on industry-led innovation within the government science and research priority of HEALTH, and aligns with the Medical Technologies and Pharmaceuticals growth sector.

The University of Sydney is Australia’s premier University with an outstanding global reputation for academic and research excellence, and employs over 7600 permanent staff supporting over 60,000 students. The University of Sydney's Brain and Mind Centre was established in 2015 for the research and treatment of critical health issues of the 21st century – disorders of the brain and mind. 

SNAC has been established at the Brain Mind Centre to take advantage of unique research capacity in the field and provide a state of the art commercial facility for the quantitative analysis of MRI to the pharmaceutical and other industries since 2012.  Together with a dedicated MS clinic, MS Clinical Trials Centre, and MRI unit,  SNAC is collocated within the Brain & Mind Centre at the University of Sydney. SNAC offers a unique combination of in-house neuroscience, imaging science, clinical trial, neurology and radiology expertise; and specialise in building novel neuroimaging biomarkers and integrating these into Phase 2-4 clinical trials for the pharmaceutical industry.

I-MED Radiology Network is the largest provider of radiology service in Australia, providing over five million services a year to the Australian community across all states.

Duties and Key Responsibilities

  • Designs, Develops and implements AI solutions for clinical imaging practice to improve the clinical reporting accuracy and productivity.
  • Liaises with project Systems Engineer to implement and deliver the AI solutions to clinicians and clinical research scientists.
  • Contributes to the advancement of AI in medical imaging, including producing publications in top tier journals and conferences. 
  • Plans and Manages the progress of designated AI project, ensures that all deadlines are met. 
  • Provides regular technical and other progress reports relevant to the projects, ensure all progresses are well documented.
  • Provides supports to other members in the team, 
  • Ensures strict confidentiality and security of all databases and related clinical trials information.
  • Provides supervision to junior engineers and research students
  • Undertakes ad-hoc projects and other activities as approved by the supervisor.

 Skills, Knowledge and Experience

  • PhD in computer science/electrical engineering/Applied Math etc, as well as relevant experience in Artificial Intelligence.
  • Demonstrated Excellent experience in computer vision and deep learning.
  • Demonstrated strong hands-on coding skills in C++, Python and other scripting languages to quickly prototype Deep/Machine Learning models on platforms such as TensorFlow/Keras/Pytorch/Theano.
  • Experience with medical imaging analysis is preferred, specifically in classification, segmentation and multimodal analysis.
  • Excellent interpersonal, verbal and written communication skills with sound negotiating and conflict resolution skills and a demonstrated level of tact and discretion in dealing with a variety of matters.
  • Ability to work both independently and as part of a team, taking initiative and exercising sound judgement in resolving matters that may arise as part of normal daily work.
  • Demonstrated experience in planning, analysis and communication skills together with the ability to work according to strict deadlines and manage various demands.
  • Excellent administrative skills, coupled with a general understanding of the project life cycle, project documentation, project standards and methodologies.
  • Previous work experience in the higher education/tertiary sector or at a complex, multi-faceted organisation.


SNAC is an equal employment opportunity employer committed to equity, diversity and social inclusion. 

Please forward your application letter and CV to info@snac.com.auWe will be reviewing applications as we receive them however due to the volume of the applications, please be informed that only shortlisted candidates will be contacted after the closing date.

Job Type: Full-time




SNAC is redefining conventional neuroimaging by using cutting edge AI algorithms to bring unparalleled speed, unbiased accuracy and improved consistency to transform the medical imaging industry. The images here is a side by side comparison of multiple sclerosis lesion segmentation. Left images shows manual lesion segmentation, while right shows fully automated lesion segmentation. Image curtesy of SNAC.