Lecturer / Senior Lecturer / Associate Professor in Statistics for Omics

Lecturer / Senior Lecturer / Associate Professor in Statistics for Omics Role type: Full-time; Continuing Faculty: Science Department/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 Overview 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. 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. Responsibilities 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. Candidate profile Hold a PhD in statistics or a closely related discipline. Have a strong statistics background and expertise in computational biology to establish and lead a high-level research program. 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. Benefits 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 Professional development opportunities Other benefits package including health and wellbeing programs, discounted services, and professional development opportunities About the University 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 – or send an email titled “Reasonable Adjustments” to hr‑ You can find more information for applicants requiring reasonable adjustments on our Careers website: 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 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 Application Process Applications close: 2 February 2026, 11:00 PM / Melbourne time zone. Please include Resume, Cover Letter outlining your interest and experience, the responses against the Selection Criteria (found in the Position Description). Visa sponsorship is available for this position. For more information, go to If you have any questions regarding the recruitment process, please contact Anna Gradoboeva via email at hr‑ , ensuring that you include the Position Number and the Job Title as the subject. Do not share your application to this email address. Position Description: JR- Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf #J-18808-Ljbffr