Lecturer in Statistics for Omics

University of Melbourne; Parkville; On-site; AUD 136,000 - 193,000; Full time

Benefits offered by this job

17% superannuation

Flexible work options

Career development programs

Parental leave benefits

Cultural and wellbeing leave

Salary packaging options

Health insurance discounts

Employee assistance program

Job summary

University of Melbourne invites applications for a role leading innovative statistical research for omics, developing methods for complex genomic data. You will teach and supervise across statistics and data science, collaborating with world-class experts.

You will build an internationally visible research profile, pursue external funding, and contribute to the School and MIG leadership, while mentoring honours, MSc and PhD students.

Qualifications

• PhD or equivalent in statistics or related quantitative discipline.
• Strong publication record in statistical methodology or computational biology.
• Develop novel statistical methods for high dimensional data including genomics/transcriptomics.

Responsibilities

• Lead an independent, high impact research programme in statistics for omics.
• Publish in leading venues and seek external funding.
• Design and deliver undergraduate and postgraduate statistics/data science courses.
• Supervise honours, MSc and PhD students.
• Contribute to School/Faculty leadership and engagement.

Skills

Strong publication record in stats/com

Develop novel Statistical methods for–

Securing competitive research funding

Teaching statistics/data science

International collaborations

Education

PhD or equivalent in statistics or related quantitative field

Tools

R/Python/Statistics software

Job description

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)

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

You may be a great fit if you:

• 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.

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 balanceand 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

Your new team – School of Mathematics and Statistics

You will join the School of Mathematics and Statistics, one of Australia’s premier centres for mathematical sciences.
Based at Melbourne Integrative Genomics, you will work alongside statisticians, biologists and computing experts tackling omics challenges.
Within the Faculty of Science, you will access outstanding infrastructure, supportive leadership, and rich interdisciplinary collaborations.

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 be 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 [e-mail].

Want to know more?

• 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 [e-mail]

• For recruitment adjustments contact Kim Groizard on [phone] or at [e-mail] (subject: ‘Recruitment Adjustments’).

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

Position Description:

JR-017997 Lecturer, Senior Lecturer, Associate Professor in Statistics for Omics _PD.pdf

JR-017997 Lecturer, Senior Lecturer, Associate Professor in Statistics for Omics _PD.docx