Research Fellow – AIMachine Learning in Pharmaceutical Data
Job Location:
Clayton, OH - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Research Fellow AI/Machine Learning in Pharmaceutical Data
Job No.: 697007
Location: Clayton campus
Employment Type: Full-time
Duration: 11-month fixed-term appointment
Remuneration: $86195 - $116981 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 youll 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. Youll 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. Theres a sense of belonging from contributing to something ground breaking a place where great things happen.
We value difference and diversity and welcome and celebrate everyones contributions lived experience and expertise. Thats why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20000 staff work for Monash around the world. We have 95000 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 worlds best tertiary institutions. We rank in the worlds top-50 universities in rankings including the QS World University Rankings 2026.
Learn more about Monash.
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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.
To Apply
For instructions on how to apply please refer to How to apply for Monash Jobs. Your application must address the Key Selection Criteria.
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 2026 11:55pm AEDT
Supporting a diverse workforce
Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations and pays its respects to their elders past and present.
