Research Fellow in Statistical Omics – University of Melbourne

Closes 3 November.

Join the School for Mathematics and Statistics and Melbourne Integrative Genomics in a dynamic role as a Research Fellow, focusing on pioneering statistical method development for omics data integration.

The role, under the guidance of Prof Kim-Anh Lê Cao at the forefront of computational methods for high-throughput biological data, involves combining statistical modelling, advanced computational techniques, and omics data integration to gain comprehensive insights into biological systems in health and disease.

You will innovate new computational and statistical methods, fostering campus-wide collaborations.

This is a rare opportunity to thrive in a collaborative environment alongside statisticians, bioinformaticians, and biologists.

The role also includes teaching one subject per year aligned with your expertise and strong support for developing your research career path and directions.

• Role type: Full-time; Fixed-term for 2 years
• Faculty: Faculty of Science
• Department/School: School of Mathematics and Statistics
• Salary: Level A.6 – $105,518 p.a. plus 17% super

Apply/more info: https://jobs.unimelb.edu.au/en/job/918619/research-fellow-in-statistical-omics