Research Fellow – Data Scientist
Job No.: 682332
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 ABI program’s leadership team, you’ll contribute to data curation, protocol development, predictive modelling, and novel analytics for large-scale neurocritical care datasets.
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.
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.
Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us.
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: Victoria King, Business Manager, Victoria.King@monash.edu
Position Description: Position Description
Applications Close: Monday 18 August 2025 at 11:55pm AEST
Supporting a diverse workforce
