Role type: Full-time; Fixed-term until August ****
Faculty: Medicine, Dentistry and Health Sciences
Department/School: Centre for Youth Mental Health
Salary: Level B: AUD $124,656 - $148,023 p.a. plus 17% super
Lead cutting-edge youth mental health data science / contribute to NIH-funded global psychosis research / build a solid academic profile
Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
Your next career opportunity You will join the Ultra High Risk for Psychosis team at the Centre for Youth Mental Health. You will lead advanced statistical and machine learning analyses to uncover trajectories and predictors in young people. You will contribute to high-impact publications and global collaborations across NIH, MRFF and CRE-funded projects.
What you will deliver:
Lead statistical analyses of UHR and related datasets, generating robust insights into youth mental health outcomes.
Develop and evaluate machine learning models for prediction, clustering and identification of clinically meaningful subgroups.
Undertake data wrangling, entry, cleaning and management using R and associated analytical tools.
Prepare analysis plans, reports and manuscripts, contributing to peer-reviewed publications and grant applications.
Engage actively in project meetings, presentations and dissemination activities within Orygen and partner institutions.
You may be a great fit if you:
Hold a Master or PhD in biostatistics, statistics, data science or a related quantitative discipline.




Demonstrate strong experience applying research methodologies and quantitative analyses to complex health or behavioural data.
Bring proven expertise in developing and applying machine learning models for clustering and prediction tasks.
Possess highly developed R programming skills, including data wrangling, modelling, simulation and visualisation.
Manage competing priorities effectively, meeting project deadlines while working both independently and collaboratively within teams.
Communicate complex statistical concepts clearly to colleagues and stakeholders with varying levels of technical understanding.
For further information please refer to the attached PD.
What we offer you!
Build future financial security with 17% superannuation
Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave and cultural leave
Salary packaging and access to a range of discounted services including Bupa health insurance
Access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
Health and well-being services including a leading Employee Assistance Program
Your new team – Centre for Youth Mental Health
You will join the Centre for Youth Mental Health, co-located with Orygen, a world-leading youth mental health organisation.



The Ultra High Risk for Psychosis team brings clinicians, neuroscientists and data scientists together to transform early intervention. You will work in a collaborative, multidisciplinary environment with strong mentoring, global partnerships and clear academic career pathways.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb. We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.
Aboriginal and Torres Strait Islander Applicants
We aspire to the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at ******.
Want to know more?
For queries related to this specific position, contact Barnaby Nelson at ******
For questions related to our recruitment process email Vanessa Phan at ******
For recruitment adjustments contact Kim Groizard on *************** or at ****** (subject: 'Recruitment Adjustments').
Applications close: 9 October **** at 11:55 PM; Melbourne time zone.
Position Description: PD_JR-****** Research Fellow – Data Scientist, Biostatistician.docx PD_JR-****** Research Fellow – Data Scientist, Biostatistician.pdf
#J-*****-Ljbffr

📌 Research Fellow – Data Scientist / Biostatistician (Melbourne)
🏢 University of Melbourne Employees, Location, Alumni
📍 Melbourne