This is a Research Fellow - Data Science role with Monash University based in Melbourne, VIC, AU Monash University Role Seniority - mid level More about the Research Fellow - Data Science role at Monash University Research Fellow - Data Science Job No.: 695546 Location: 553 St Kilda Road Employment Type: Full-time Duration: 12 month fixed-term appointment Remuneration: $123,138 - $146,228 pa Level B (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 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 29 July 2026, 11:55pm AEST Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Monash University team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities ️ Developing data management protocols Applying AI techniques Building predictive models Key Strengths Machine learning Deep learning Data analysis Clinical data experience Project coordination Communication skills A Final Note: This is a role with Monash University not with Hatch.
