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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.

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NVIDIA Clara - Intelligent Compute Engine for Healthcare and Life Sciences

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POWERING THE NEXT GENERATION OF HEALTHCARE

Deep Learning research in Medical Imaging is booming with more efficient and improved approaches being developed to enable AI-assisted workflows.  Today, most of this AI research is being done in isolation and with limited datasets which may lead to overly simplified models. Even when a fully validated model is available, it is a challenge to deploy the algorithm in a local environment. With the latest release of Clara AI for Medical Imaging now data scientists, researchers and software developers have the necessary tools, APIs and development framework to train and deploy AI workflows.

Clara Train and Deploy SDKs provide Data Scientists and Radiologists with the tools to build, manage, and deploy AI workflows in medical imaging. Clara Train SDK includes APIs to add AI Assisted annotation to any medical viewer and provides a training framework optimized to train AI models for Medical Imaging. Clara Deploy SDK provides a container based development & deployment framework for building AI accelerated medical imaging workflows that can interface in a hospital infrastructure.

NVIDIA is co-hosting a free full-day workshop with the Sydney Neuroimaging Analysis Centre and the Brain and Mind Centre on using artificial intelligence tools for medical imaging research and clinical tasks. This workshop provides the perfect opportunity for students, scientists, and clinicians who are new to artificial intelligence and would like to start harnessing its power for diagnosing and treating various diseases. Examples include AI image processing and automatic lesion delineation for the brain, lungs, liver, prostate, and other organs.

Registration is now OPEN via the following link:

https://nvidia_clara.eventbrite.com/

Location: Room 502 Brain and Mind Centre, 94 Mallett Street Camperdown, NSW 2050

Time: Wed, August 28, 2019        8:30AM – 4:00 PM AEST

Free morning tea, lunch, and afternoon tea are provided.  

 

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Opening position for Junior Neuroimaging Analyst in SNAC.

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.

 SNAC was 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 co-located 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 specialises in building novel neuroimaging biomarkers and integrating these into Phase 2-4 clinical trials for the pharmaceutical industry.

Duties and Key Responsibilities 

  • Specific Image Analysis Accountabilities
  • Manage imaging data according to established Sydney Neuroimaging Analysis Centre SOPs
  • Perform all analyses required for imaging projects – maintain data and record keeping as per relevant SOPs
  • Ensure confidentiality and security of all research databases and related clinical trials information
  • Supports the design of research work being undertaken in the work area. 
  • Assists with the design, development and documentation of suitable imaging and other research protocols.
  • Provides research administrative support for the work area.
  • Ensures that ethics guidelines, standards and WHS requirements are met in the work area.
  • Ensures subject confidentiality requirements met.
  • Undertakes appropriate research procedures in accordance with relevant ethics protocols.
  • Ensures that the appropriate ethics applications are lodged in collaboration with SNAC management and/or Senior Academics at the BMC.
  • Prepares and ensures timely and accurate submission of all necessary documents.
  • Ensures workplace health and safety regulations and operating procedures are adhered to within the research work environment.
  • Undertakes ad-hoc projects and other activities.
  • Performs work activities relevant to the role’s key accountabilities as approved by the Manager

Skills, Knowledge and Experience

Essential

  • Tertiary qualifications in appropriate discipline and relevant experience in related field.
  • Demonstrated experience in MRI analysis in the neuroimaging.
  • 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 day to day operational 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.
  • Strong problem solving skills and the ability to use initiative and exercise sound judgement and ability to prioritise workload during busy period。
  • Experience in a research-intensive environmen.
  • Working understanding of relevant aspects of the Work Health and Safety Policy and relevant legislation, including Safe Laboratory Practices, as applicable to the work environment.
  • Most importantly attention to detail and sustained focus.

Desirable

  • Specialty knowledge and previous experience in the application of structural MRI techniques that specific to neurological diseases.
  • Knowledge of and previous experience in neuroanatomy, clinical and research MRI techniques.
  • SNAC is an equal employment opportunity employer committed to equity, diversity and social inclusion.

 

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.au. We 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

The role of Software Engineer - Medical Imaging is to develop and implement software system solutions, including computing infrastructure for deep learning applications, to contribute to the recently established AI innovation collaboration between the University of Sydney, Sydney Neuroimaging Analysis Centre (SNAC) and I-MED Radiology Networks (I-MED).

CONTEXT OF THE ROLE

The recent interdisciplinary collaboration between SNAC, the University of Sydney 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.

SNAC was 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 co-located 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 specialises in building novel neuroimaging biomarkers and integrating these into Phase 2-4 clinical trials for the pharmaceutical industry.

Collaborative partners include:

The University of Sydney.

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. 

I-MED Radiology Network.

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

 

Key accountabilities and responsibilities

  • Provide specialized technical expertise in the design, planning and implementation of system solutions for medical imaging analysis applications in clinical settings.
  • Develop computing system architecture involving AI deep learning models.
  • Write maintainable and well-structured code and automated tests.
  • Review, troubleshoot, test and maintain the core code base to ensure strong optimization and functionality
  • Understand application security & identify problems and fixes.
  • Identify and implement scalable performance improvements.
  • Liaise with internal/external collaborators to deliver optimal outcomes.
  • Undertake any other duties relevant and appropriate to the position.
  • Maintain strict confidentiality of all project / commercial materials.

Knowledge, skills, experience and qualifications

  • Bachelor’s degree with 4+ years’ experience or a master’s degree in Computer Science or IT Engineering-related discipline with 2+ years’ professional experience.
  • Experience in two or more of Java, Python, C# and bash.
  • Experience in Web Sevices/Integration development using REST, JMS, etc. Experience with Python and AI framework is advantage.
  • Experience in building scalable architectures/data platforms within any public cloud (AWS, Azure or GCPs).
  • Knowledge of container tools such as Docker or singularity, and container orchestration tools such as Kubernetes, Docker Swarm, AWS ECS.
  • Professional experience of building CI/CD infrastructure and pipelines.
  • Solid understanding of development and solution design principles and non-functional requirements.
  • Knowledge of information security framework and incident management.
  • Good interpersonal and communication skills.
  • Analytical individual and self-motivated learner.
  • Knowledge of medical Imaging format (DICOM, etc.) and PACs Systems.
  • Experience with imaging software such as FSL, SPM, as well as Matlab will be desirable.

 

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.au. We 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

Sydney Neuroimaging Analysis Centre (SNAC) secures A$2.36 million Australian Government CRC-P Grant to transform Clinical Neuroimaging with AI.

 

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·      SNAC is the lead participant in a successful CRC-P grant application: AI: new smarts for the medical imaging industry

·      The CRC-P grant provides A$2.36 million funding, with additional matched cash and in-kind participant funding.

·      Together with national imaging provider I-MED Radiology Network (I-MED) and the University of Sydney’s Brain and Mind Centre, SNAC will develop, implement and commercialise clinically meaningful AI algorithms in the clinical and clinical trials neuroimaging space.

 

Sydney Neuroimaging Analysis Centre (SNAC) is pleased to announce its recent success in securing support for its Artificial Intelligence in Neuroimaging project through the Australian Government’s Cooperative Research Centres (CRC) Programme.  As the lead participant, SNAC has been awarded a A$2.36 million grant, with matched cash and in-kind funding from the project participants, including SNAC, I-MED and the University of Sydney’s Brain and Mind Centre.

 

The Cooperative Research Centres (CRC) Programme is administered by AusIndustry, a division within the Department of Industry, Innovation and Science. The CRC Programme is a competitive, merit based grant programme that supports industry-led and outcome-focused collaborative research partnerships between industry, researchers and the community.

 

Dr Tim Wang PhD, Director of Operations for SNAC, said “The provision of CRC-P funding will significantly accelerate the expansion of SNAC’s neuro-imaging biomarker portfolio, enhance clinical trials of emerging therapies for neurological disorders such as multiple sclerosis and, through our partnership with I-MED, transform diagnostic neuroimaging”

 

“Partnership with the Computational Neuroscience Team at the University of Sydney’s Brain and Mind Centre, led by neurologist Professor Michael Barnett and AI expert Professor Dacheng Tao, is a pivotal strength of the project”.

 

SNAC specialises in the provision of regulatory-compliant neuroimaging analysis to the pharmaceutical industry and in particular the development of novel neuroimaging biomarkers and their implementation in Phase 2-4 clinical trials.  SNAC also works closely with academics in imaging science and clinical medicine to further research into neurological disease.

 

For more information please contact:   

 

Dr Tim Wang, Director of Operations

Email: tim@snac.com.au

Web: snac.com.au