The Opportunity

We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to work with pioneering bedside monitoring tools, such as ICM+ software, and support the delivery of major multi-centre clinical studies, including BONANZA-GT and PRECISION-TBI. Working closely with the Acute Brain Injury leadership team, you'll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets and manuscript preparation and publication.

https://www.monash.edu/medicine/sphpm/anzicrc/research/anzic-rc-acute-brain-injury-program

As the Research Fellow - Data Scientist, you will:

Develop and implement data management and analytics protocols for clinical trial datasets
Apply deep learning and AI to time series neuromonitoring data
Build and test predictive models using machine learning techniques
Drive methodological innovation in neurophysiological data analysis
Contribute to publications, grant submissions and independent research projects
Collaborate with interdisciplinary research teams to generate translational impact

About You

You bring a passion for solving complex data challenges in a clinical setting and thrive in an interdisciplinary, purpose-driven team. You have:

A postgraduate qualification in Computer Science, Data Science or related field
Extensive experience working with large-scale, high-frequency (waveform) data
Proficiency in analytics, AI, and modern data science tools
Excellent problem-solving, project coordination and communication skills
A PhD or equivalent research experience (preferred)
Experience with clinical or physiological data (desirable)

About Monash University

At Monash, work feels different. There's 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 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 2026.

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.

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 h***@*********** 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: Mr Tony Trapani, Research Manager, t***@***********

Applications Close: Wednesday 29 July 2026, 11:55pm AEST

Data Science Jobs in St Kilda Road

Research Fellow - Data Science