Lecturer/Senior Lecturer/Assoc. Prof. in Statistics for Omics

Role type: Full-time; Continuing
Faculty: Science
Department/School: School of Mathematics and Statistics
Salary: Level of appointment is subject to qualification and experience
Level B: AUD $114,645 - $136,136 p.a.
Level C: AUD $140,433 - $161,926 p.a.
Level D: AUD $180,254 to $198,584 p.a.
plus 17% super (retirement savings system/pension scheme)

• Develop innovative statistical methods for complex 'omics datasets.
• Apply now to join a world-class school in a leading University.
• Investing in you - 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.
The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics research hub, optimisation researchers in the ARC Training Centre OPTIMA, biological systems modelling or quantum biotechnologies in the ARC Centres MACSYS and QUBIC, as well as applied and theoretical approaches to data science in other departments/faculties across the University.
Your next career opportunity
The School of Mathematics and Statistics invites applications for a Lecturer/Senior Lecturer, or Associate Professor from dynamic individuals at the forefront of 'omics technologies. The appointment will be at Level B, C, or D (Lecturer, Senior Lecturer, or Associate Professor), depending on the candidate's previous experience.


The research will develop and apply statistical methods to complex 'omics data such as genomics, transcriptomics, and microbiome data, with encouragement for work in statistical machine learning. We seek a candidate whose profile complements the School's strengths in data science, including mathematics, statistics, machine learning, optimisation, biostatistics, and genomics. A strong commitment to high-quality teaching and supervision of undergraduate, MSc, and PhD research students is essential.


You will be affiliated with Melbourne Integrative Genomics (MIG), a University initiative focused on pioneering statistical methods for omics data.


Your responsibilities will include:

• Conduct Innovative Research: Lead a research programme in statistical genomics, publish in high-impact journals, and secure external funding.
• Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels.
• Supervise Research Students: Guide MSc and PhD students in their research projects, fostering the next generation of data scientists.
• Engage in Interdisciplinary Collaboration: Work with researchers across the university on cutting-edge projects in bioinformatics and machine learning.

You may be a great fit if:
You have a strong statistics background and expertise in computational biology to establish and lead a high-level research program.

You may also:

• Hold a PhD in statistics or a closely related discipline.
• Have a strong publication record in statistical learning applied to large biological datasets.
• Demonstrate the ability to secure research funding through competitive grant schemes.
• Possess excellent teaching skills and the ability to develop curriculum in data science.
• Have experience in supervising graduate students and fostering their academic growth.

For further information please refer to the attached PD.

What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including:

• Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
• Progressive, considerate leave provisions to empower your work-life balance
• Salary packaging and access to a range of discounted services including Bupa health insurance
• Health and well-being services including a leading Employee Assistance Program

For more information check out our benefits page!


Your new team - "School of Mathematics and Statistics"
The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.


The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students.The School has had 10 staff members inducted as Fellows of the Academy of Science.

Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities.


The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods. To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au. You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers


Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.


For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
If you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au.


Working at the University - what you need to know
This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures.


Please note: Visa sponsorship is available for this position.


Join Us and unlock your career potential!
Is this the perfect opportunity for you? Apply today! Including the following documents:

• Resume
• Cover Letter outlining your interest and experience
• The responses against the Selection Criteria^ (found in the Position Description)

^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria


If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.


If you have any particular questions regarding the job please follow the details listed on the Position Description.


Applications close: 28 August 2025, 11:00 PM Australian Eastern Standard Time (AEST) / Melbourne time zone.


Position Description: JR-001551 Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf