Research Fellow - Data Scientist

Job No.: 685524

Location: 553 St Kilda Road, Melbourne

Employment Type:  Part-time, (0.5) FTE

Duration: 12 month fixed-term appointment

Remuneration: Pro-rata $118,974 - $141,283 pa Level B plus 17% 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

Shape the future of critical-care research through data innovation.

Monash University’s School of Public Health and Preventive Medicine (SPHPM) is at the forefront of improving health and wellbeing for communities in Australia and across the world. As one of the largest and most respected schools of public health in the Asia-Pacific region, SPHPM leads discovery and translation across epidemiology, biostatistics, clinical trials, health economics, genomics, and more — delivering evidence that drives equitable, real-world impact.

Within the School, the Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) is a world-class research methods centre dedicated to advancing intensive-care medicine. The Centre leads landmark studies in areas such as sepsis, traumatic brain injury, mechanical ventilation, sedation, recovery, and extracorporeal membrane oxygenation (ECMO), transforming outcomes for critically ill patients.

The Opportunity

This is a rare and exciting opportunity to join one of the world’s leading critical-care research centres as a Research Fellow (Data Scientist). Working alongside Professor Carol Hodgson and her multidisciplinary teams, you will play a key role in shaping how complex health data is captured, analysed, and translated into life-saving knowledge.

You’ll contribute to major programs in ECMO and Recovery research, supporting projects that identify gaps in evidence-based care, advance post-ICU recovery science, and improve long-term patient outcomes. Your expertise in analytics, artificial intelligence, and data management will directly inform how critical-care data is used to refine clinical practice and improve survival worldwide.

This position offers the opportunity to:

• Develop and implement advanced data pipelines and predictive models using statistical, Bayesian, and deep-learning approaches.

• Lead improvements in data quality, integration, and reproducibility across multi-centre trials and registries.

• Collaborate with leading clinicians, engineers, and biostatisticians across Australia and New Zealand.

• Contribute to high-impact publications and present findings on the global stage.

• Be part of a collaborative culture that values curiosity, innovation, and purpose.

If you are passionate about using data to drive better health outcomes, this role offers a unique platform to make a tangible difference in intensive-care medicine.

About You

You are a motivated and technically skilled data scientist who thrives on solving complex problems in health and medicine. With strong foundations in data analytics, modelling, and statistical computing, you are ready to apply your expertise to real-world clinical challenges.

To be successful, you will have:

• Postgraduate qualifications in computer science, data science, or a related discipline (PhD preferred).

• Advanced skills in statistical analysis and modelling using tools such as R, Excel, Redcap, and related software.

• Demonstrated experience in AI or machine-learning applications and a passion for methodological innovation.

• Proven ability to manage, analyse, and interpret large or high-frequency datasets.

• Excellent communication and organisational skills, with the ability to collaborate across disciplines.
  Experience with clinical or health data will be highly regarded.

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: Tony Trapani, Deputy Director (Operations) - tony.trapani@monash.edu

Position Description: Research Fellow Data Scientist 

Applications Close: Tuesday 18 November at 11:55pm AEDT