Research Fellow in Rare Disease Data Analytics
Job No.: 668424
Location: Clayton campus
Employment Type: Full-time
Duration: 12-month fixed-term appointment
Remuneration: $80,464 - $109,203 pa Level A (plus 17% employer superannuation)
- Amplify your impact as a Research Fellow at a top 50 university
- Collaborate with global experts in an inclusive research community
- Advance HD research surrounded by extraordinary ideas and pioneering innovations
The Opportunity
Join the Experimental Neuropsychology Research Unit (ENRU) as a Research Fellow and drive advancements in understanding Huntington’s disease (HD). This role focuses on developing innovative data analytics and computational models to enhance diagnosis, prognosis, clinical trials, drug discovery and personalised treatments. As part of the ENRU research team, specialising in rare neurodegenerative disorders, this position will have access to the world’s largest longitudinal, multi-modal MR imaging, clinical and cognitive database. This position plays also plays a vital role in creating precise maps of brain and cognitive dysfunction, modelling disease progression and identifying sensitive biomarkers for tracking HD.
The role encompasses a wide range of responsibilities, including designing advanced data analytics and AI models, managing and analysing extensive datasets and contributing to high-impact research publications. It involves close collaboration with clinical partners, hospitals and international research organisations, as well as conducting literature reviews and supporting grant applications. By contributing to these cutting-edge projects, the position aims to refine clinical practices and improve outcomes for individuals affected by Huntington's Disease.
We are seeking candidates with a doctoral qualification or near completion in fields such as neuroscience, data science or biomedical engineering. Strong analytical skills, expertise in MR imaging analysis tools like SPM and FSL and proficiency in statistical and AI modelling are also essential. Experience working with neurodegenerative disease data will also be highly valued.
If you are passionate about driving meaningful change in neurodegenerative research and clinical practice, we encourage you to apply and join our mission to transform HD care. This position is an exciting opportunity to join our team for an initial 12 month term, with a potential extension of an additional 12 months.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something groundbreaking – 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
Your application must address the selection criteria. Please refer to
'How to apply for Monash Jobs'.
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: Dr Susmita Saha, Saha.Saha@monash.edu
Position Description: Research Fellow in Rare Disease Data Analytics
Applications Close: Sunday 26 January 2025, 11:55pm AEDT
Please note: Monash University will be closed from Monday 23 December 2024 until Wednesday 1 January 2025 inclusive
Supporting a diverse workforce
