Research Assistant Physical Sciences
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Job Summary
Research Associate AI Image Analyst
Fixed term (2 years) 0.6 EFT 45.6 Hours Per Fortnight
Parkville location with multiple transport options at our doorstep.
$44257 to $ 63507 base salary packaging super 5 weeks annual leave.
At Peter Mac we aim to continuously improve cancer care research and education across all cancers and for all people affected by cancer: changing lives breaking new ground. Everything we do is underpinned by our core values Excellence Compassion and Innovation. Welcoming people from a wide variety of different backgrounds and experiences is critical to fostering innovation cultivating compassion attracting and retaining top talent and providing the best possible cancer care for our patients.
The Role
This role is responsible for curating and managing a high-quality database of PSMA PET/CT images from the PRIMARY trial ensuring accurate image classification data integrity and compliance with Good Clinical Practice and data governance standards. The position develops and refines automated tools to assign PRIMARY scores to PET/CT images using advanced image classification techniques working closely with clinicians to incorporate feedback and enhance clinical utility through human-in-the-loop collaboration with the Cancer Imaging and Medical Physics teams the role contributes to research publications delivers project outcomes for the Prostate Cancer Foundation of Australia and supports the translation of software solutions into clinical open-source or commercial applications.
We have an opportunity to employ a research associate to
Develop Automated Model for Classification of Prostate Cancer Grade on PSMA PET/CT Imaging using Data from PRIMARY Trials Prostate Cancer Foundation of Australia funded Research Project
Assist with image analysis and reporting for Prostate Theranostics Imaging Centre of Excellence (ProsTIC) clinical trials and registry patients
Support service expansions in PET and Nuclear Medicine clinical team
Applicants are required to have
Proven research track record in applied machine learning for medical image analysis
Familiarity with biology of cancer and anatomical interpretation of medical images
Ability to independently manage clinical research aims
Computing skills including competency with handling/transfer of DICOM image data and programming in a high-level computing language.
PhD in computer science medical physics biomedical engineering or related field of applied science.
Our benefits
We offer a range of benefits which support our people both personally and professionally including:
Up to $11660 in salary packaging to increase your take home pay
Discounted health insurance and eye care
A comprehensive health and wellbeing program
Public transport options at our doorstep and end of trip facilities for cyclists
Onsite eateries and coffee shops and inviting rooftop garden spaces
Pathways for professional development and new career opportunities
Five weeks annual leave 17.5% leave loading & purchased leave
Flexible hybrid working practices
Inclusion and belonging
Peter Mac celebrates values and supports a diverse and inclusive environment which reflects our vibrant community. We encourage applications from anyone identifying as Aboriginal and/or Torres Strait Islander. We also welcome anyone who identifies as LGBTQIA linguistically culturally and/or gender diverse people with disability and people of any age to apply for our roles.
Join us!
If you feel this role is right for you we warmly invite you to apply and encourage your early application. All appointments are made subject to satisfactory police check and may include vaccination requirements. Should you need assistance or require any adjustments or accommodations to fully participate in the application or interview process you are welcome to reach out to the contact person listed. We acknowledge that not all applicants will meet the full list of selection criteria outlined and wherever possible we will consider applications where relevant experience can apply.
Applications should include a curriculum vitae and names of at least two professional referees.
Enquiries to:
Dr. Price Jackson Lead Imaging Physicist Telephone (03)or email
Kosta Gerontzos Operations Manager Physical Sciences Telephone (03)or email
Applications close: 11:59PM Thursday 27 August 2026
To Develop Automated Model for Classification of Prostate Cancer Grade on PSMA PET/CT Imaging using Data from PRIMARY Trials Prostate Cancer Foundation of Australia funded Research Project
To assist with image analysis and reporting for Prostate Theranostics Imaging Centre of Excellence (ProsTIC) clinical trials and registry patients
To support service expansions in PET and Nuclear Medicine clinical team
1RA4-1RA5 (Research Assistant 4 Research Assistant 5)
Category B: Position unlikely to have contact with blood or other body fluid
| Internal | Director Department of Cancer Imaging Director Department of Physical Sciences Operational Business Manager Nuclear Medicine Staff Peter Mac Research Computing |
| External | N/A |
| Essential Requirements | Proven research track record in applied machine learning for medical image analysis Familiarity with biology of cancer and anatomical interpretation of medical images Ability to independently manage clinical research aims Computing skills including competency with handling/transfer of DICOM image data and programming in a high-level computing language. PhD in computer science medical physics biomedical engineering or related field of applied science. Successful completion of Performance Assessment. Australian resident or holder of Australian PR status |
| Desirable Requirements | Experience with medical imaging for prostate cancer or PET/CT imaging |
| Key Accountabilities | Demonstrated by / Key Performance Indicators |
| 1. Curate database of staging PET/CT images from PRIMARY trial | Coordinate with medical staff and external collaborators to obtain and perform quality control for PSMA PET/CT images from the PRIMARY trial. Manage association between images and tumour classification Adhere to Good Clinical Practice and PMCC Data Governance Standards |
| 2. Develop Automated Tools for Assigning PRIMARY Score to PET/CT images | Explore contemporary image classification techniques to reliably determine disease grade based on abnormal tracer uptake and anatomical extent on PSMA imaging of suspected localised prostate cancer Work with clinicians to incorporate feedback to improve medical utility Incorporate techniques which permit adjustment based on observer feedback (human-in-the-loop) |
| 3. Address Research Deliverables for Prostate Cancer Foundation of Australia (PCFA) Project | Compile results of achievable accuracy and technical research for publication Prepare automated software for production institutional use and consider open-source distribution or potential commercialisation pathways |
| 4. Work effectively in Cancer Imaging and Medical Physics teams | Self-motivation and initiative in addressing problems and effective communication/hand-over Documents work in a professional manner |
| 5. Communicate effectively with researchers and medical staff | Good rapport with all staff |
For further information about this opportunity click Apply to be redirected to the Peter Mac Careers page where you can review the position profile. Alternatively please contact us for a confidential discussion.
Peter Mac is a child safe organisation and has a commitment to child safety and wellbeing.
WHY WORK FOR PETER MAC
Peter Mac offer a range of benefits which support our people both personally and professionally.
Our staff benefits include award winning facilities professional development and events a health and wellbeing program flexible work practices and policies and financial benefits such as salary packaging.
We encourage applications from Aboriginal and Torres Strait Islander people all members of the LGBTQI community and people with a disability.
Required Experience:
Junior IC
