Classification
Full‐Time, fixed‐term appointment up to 3 years
Classification: Level B – Base salary from $118,530 + 17% superannuation
About the position
The Victorian Government has partnered with La Trobe University to establish the Australian Centre for Artificial Intelligence in Medical Innovation (ACAMI).
Established in ****, ACAMI is a collaborative research, clinical trials and workforce development centre operating at the intersection of AI and medical innovation. The Centre supports local medical research institutes and industry partners, delivering current and additional capabilities to maintain Victoria's world‐leading medical innovation and life sciences research ecosystem at pace with global standards and opportunities as AI capability develops.
The appointee will support ACAMI research programs, contribute to engagement with industry, clinical, health‐sector and medical research partners, and work with ACAMI's Director, Development, to help translate research outcomes into practical tools, software, prototypes, workflows and partner‐facing applications.
Duties at this level
Conduct and contribute to high‐quality research in AI‐enabled medical, biomedical, biological and health innovation under the direction of ACAMI's Director & Chief Scientist and senior researchers, contributing to new methods, validated applications and practical solutions for significant medical and health challenges.
Work with ACAMI's Director & Chief Scientist, ACAMI's Director, Development, senior researchers, and external partners to help scope real‐world medical, biomedical, biological,



clinical and health challenges; contribute to co‐designed research approaches; and develop, validate or document AI‐enabled tools, software, models, workflows, prototypes or partner‐facing outputs.
Draft competitive research proposals and contribute to external funding initiatives and partner‐funded projects, including through industry partnerships, government agencies, health‐sector partners, or equivalent mechanisms.
Skills and Knowledge
Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area, such as AI/ML for medical/biomedical innovation, Bioinformatics, Computational Biology or a related field.
An established record of high‐quality research applying AI/ML, computational, data‐intensive or related approaches to medical and health challenges, including in AI‐enabled medical, biomedical, biological, clinical, health or related innovation areas.
Demonstrated ability to draft competitive research proposals and contribute to external funding initiatives, in collaboration with senior researchers, industry partners, government agencies, health‐sector partners or other external stakeholders.
Demonstrated ability to produce high‐quality research outputs,



including publications in top‐tier AI, bioinformatics, computational biology, digital health or interdisciplinary venues; presentations at relevant conferences; and/or contributions to software, tools, datasets, prototypes, implementation materials or partner‐facing deliverables.
Closing date: Sunday the 9th of August, ****, at 11:55 pm
Only candidates with Full Working Rights in Australia may apply for this position.
Aboriginal and Torres Strait Islander Applicants
We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.
La Trobe University is committed to creating a diverse and inclusive workforce. We actively support and encourage people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.
All La Trobe University employees are bound by the Working with Children Act ****. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.
La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender‐Based Violence (GBV Code). Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender‐based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability.
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📌 Research Fellow, Australian Centre For Ai In Medical Innovation (Melbourne)
🏢 La Trobe University
📍 Melbourne