Research Associate – AI Image AnalystFixed term (2 years), 0.6 EFT, 45.6 Hours Per FortnightParkville location, with multiple transport options at our doorstep.
$44,257 to $ 63,507 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 recent 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 approaches.
In 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 toDevelop 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 ProjectAssist with image analysis and reporting for Prostate Theranostics Imaging Centre of Excellence (ProsTIC)



clinical trials and registry patientsSupport service expansions in PET and Nuclear Medicine clinical teamApplicants are required to haveProven research track record in applied machine learning for medical image analysisFamiliarity with biology of cancer and anatomical interpretation of medical imagesAbility to independently manage clinical research aimsComputing 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.We offer a range of benefits which support our people both personally and professionally.Up to $11,660 in salary packaging to increase your take home payDiscounted health insurance and eye careA comprehensive health and wellbeing programPublic transport options at our doorstep and end of trip facilities for cyclistsOnsite eateries and coffee shops and inviting rooftop garden spacesPathways for professional development and new career opportunitiesFive weeks annual leave, 17.5% leave loading & purchased leaveFlexible, hybrid working practicesInclusion and belongingPeter 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.Peter Mac is a child safe organisation and has a commitment to child safety and wellbeing.Applications close: 11:59PM, Thursday 27 August ****Peter Mac offers 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.
#J-*****-Ljbffr

📌 Research Associate – Ai Image Analyst (Melbourne)
🏢 Peter MacCallum Cancer Centre
📍 Melbourne