Lecturer in Statistics for Omics

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 Apply now to advance statistical omics, inspire students, and grow your international academic reputation. 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! 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 fulfilment, including: 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! 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 . Application essentials: Visit "apply with us" to learn more about the process, including tips and FAQs. 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. Please upload your resume and a cover letter outlining your interest and experience as part of the application process. Please upload your responses to the Selection Criteria, found in the Position Description. Learn more about responding to Selection Criteria 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 For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at (subject: 'Recruitment Adjustments'). Apply today, and join a community that’s shaping the future. 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