Role type

Full-time; Continuing (tenure) Faculty: Science School: School of Mathematics and Statistics

Salary: Level B: AUD $124,656 - $148,023 p.a. Level C: AUD $152,695 - $176,065 p.a. Level D: AUD $183,859 - $202,556 p.a. plus 17% super (retirement savings system/pension scheme)

Research focus

- Pioneer statistical methods for complex omics data
- Collaborate across world-leading biomedical partners
- Build an independent, internationally visible research profile

Perks

- Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
- 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, and 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
- For more information check out our benefits page!

Career opportunity

You will lead innovative statistical research for omics, developing methods that transform complex genomic and microbiome data. You will teach and supervise across statistics and data science,



while collaborating with world class experts through MIG.

What you will deliver

- Lead an independent, high impact research programme in statistical methods for high dimensional omics and related data.
- Publish in leading statistics and computational biology venues, and actively seek competitive external research funding.
- Design and deliver engaging undergraduate and postgraduate subjects in statistics, data science, and applied mathematics.
- Supervise and mentor honours, MSc and PhD students, supporting their development as independent researchers.
- Contribute to School, Faculty and MIG leadership, governance, outreach and engagement activities.

Candidate profile

- Hold a PhD or equivalent in statistics or a closely related quantitative discipline.
- Bring a strong publication record in statistical methodology or computational biology, relative to career stage.
- Develop novel statistical methods for high dimensional or complex biological data, including genomics or transcriptomics.
- Demonstrate success securing competitive research funding and building national or international collaborations.
- Excel in designing and teaching statistics or data science subjects at undergraduate and postgraduate levels.
- Value inclusive, collaborative academic environments and contribute positively to School and Faculty service.





Eligibility and application requirements

This role is eligible for visa sponsorship and we welcome international applicants. If successful, we will support you through this process.

A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.

Contact

For queries related to this specific position, contact Professor Kim-Anh Lê Cao (details in position description).

For questions related to our recruitment process email Lachlan Bryce at .

For recruitment adjustments contact Kim Groizard on or at (subject: 'Recruitment Adjustments').

Application deadline

Applications close: 7 October 2026 11:55 PM; Melbourne time zone.

About the University

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.

Culture and values

We are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. The diversity of our community enriches us all.

We welcome applicants from all backgrounds, identities, and experiences.

We warmly encourage applications from people with disabilities.

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 .

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📌 Lecturer in Statistics for Omics (Melbourne)
🏢 UOM University of Melbourne
📍 Melbourne