Careers
Why us?
Current opportunities
Machine Learning and Artificial Intelligence for Rare Genetic Disorder Diagnosis - Multiple Roles Available
We are seeking highly motivated individuals to join our Rare Disease team in developing and applying cutting-edge machine learning (ML) and artificial intelligence (AI) technologies to improve the diagnosis of rare genetic disorders. Multiple roles are available for individuals with a strong background in modern ML/AI methodologies and a passion for making a real-world impact on families affected by rare genetic conditions.
We have successfully secured an $8 million grant from the Medical Research Future Fund to establish the Australian Alliance for Secure Genomics and AI in Rare Disease (AASGARD) - a national consortium dedicated to accelerating the safe integration of AI into genetic testing.
AASGARD brings together a diverse range of academic and industry partners, including rare disease genomics experts, clinician-researchers, accredited diagnostic labs, and professionals in ethics and policy. Our international collaborators include Microsoft Research, Genomics England, and the Broad Institute of MIT and Harvard. You will work within a multidisciplinary team with expertise spanning ML, computational biology, genomics, and clinical genetics.
If you have strong ML/AI experience and are driven to use your skills to make a difference in the lives of individuals and families affected by rare diseases, contact us at careers@populationgenomics.org.au for more information. Both individual contributor and leadership positions are available. Domain expertise in genomics or biology is not required.
Senior Computational Biologist
Join the Population Analysis team! We are looking for a highly motived Senior Computational Biologist with a PhD in human genetics or computational biology (or related field) and experience with large scale human genome studies, including GWAS or QTL association studies.
The Senior Computational Biologist will contribute to the development of cloud-based analysis pipelines, analyze diverse genomic datasets, create user-facing products, and drive research projects to enhance disease prevention, diagnosis, and treatment
You can find more details about the role here - get in touch if this sounds like you!
Interested in joining us?
We are always on the lookout for talented people to join our team! If you are interested, feel free to email us at careers@populationgenomics.org.au .
Please note that we do not maintain or have access to wet lab facilities, and therefore are unable to offer wet lab research opportunities.