Join our inclusive, collaborative community
Job No.:
******
Location:
Clayton campus
Employment Type:
Full-time
Duration:
11-month fixed-term appointment
Remuneration:
$86,195 - $116,981 pa Level A (plus 17% employer superannuation)
Amplify your impact at a world top 50 University
Join our inclusive, collaborative community
Be surrounded by extraordinary ideas - and the people who discover them
The Opportunity
The Faculty of Information Technology is looking for a Research Fellow to lead AI and machine learning initiatives on complex, real-world pharmaceutical datasets provided by our industry partner, CSL Behring.
These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models specifically targeting anomaly detection and predictive modelling to drive real world pharmaceutical outcomes.
Working within a collaborative, multidisciplinary environment across Monash and CSL Behring, you'll ensure your research outputs are both scientifically rigorous and practically relevant to industry needs.
This is a rare opportunity to work on industry-embedded research that translates advanced algorithms into practical biopharmaceutical applications while remaining grounded in an academic environment that values rigour and publication. You'll be part of a multidisciplinary team, supported by Professor Aldeida Aleti, and contribute to a project where your methods have a clear line of sight to real outcomes.
Monash offers access to world-class research infrastructure, and genuine flexibility to develop your career at the intersection of AI and health.
About Monash University
At Monash, work feels different. There's a sense of belonging, from contributing to something ground breaking – a place where outstanding things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise.



That's why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world's top-50 universities in rankings including the QS World University Rankings ****.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
Please note: Visa sponsorship is not available for this position. This role requires current valid work rights for Australia.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Professor Aldeida Aleti, Discipline Group Lead,
Position Description: Research Fellow
Applications Close: Tuesday 1 September ****, 11:55pm AEDT
Supporting a diverse workforce
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📌 Research Fellow – Ai/Machine Learning In Pharmaceutical Data (Melbourne)
🏢 Monash University
📍 Melbourne