Research Fellow – Data Scientist

Job No.: 694566

Location: 553 St Kilda Road

Employment Type: Part-time, fraction (0.8) - Full-time (1.0) negotiable

Duration: 12 month fixed-term appointment

Remuneration: $118,974 - $141,283 p.a. Level B plus 17% employer superannuation

• Develop data management protocols for data analysis
• Analyse high-frequency neuro data from ICU trials
• Drive innovation in neurocritical care research

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 hr-recruitment@monash.edu 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, tony.trapani@monash.edu

Position Description: Research Fellow

Applications Close: Wednesday 15 July 2026, 11:55pm AEST