Careers

Join our diverse and talented team at the Centre for Population Genomics!

Why us?

Our work is impact-driven; together, we focus on bringing the benefits of genomic medicine to all Australians.

Our Centre offers flexible work approaches, with over 40 team members located across Australia and New Zealand.

Our teams thrive in a highly dynamic, collaborative and inclusive environment across the Centre.

We build long-term professional career paths without relying on traditional academic metrics.

The CPG is a unique organisation, combining a for-purpose, impact-focused mission with an operating model more reminiscent of a tech startup. This allows us to tackle projects designed to create public good (e.g. more representative datasets of human genetic variation) with a degree of scale and infrastructure investment highly unusual for academic research. We operate in a geographically distributed remote-first model, allowing team members to be based anywhere in eastern Australia or New Zealand, coming together for quarterly in-person events in Sydney and Melbourne. Our team includes members with extremely diverse backgrounds, including researchers, software engineers, data scientists, project managers, community engagement specialists, and other experts.

We invest in our people: we have well-defined career growth pathways for professional staff (including engineers, computational biologists, and project managers), and a robust approach to team management and career development. We evaluate performance based on impact and benefit to the team, not traditional academic metrics like publication success.

We're always on the lookout for sharp, ambitious individuals interested in a career in genomic medicine. If none of the roles below suit you, but you're interested in talking to us, email careers@populationgenomics.org.au with a CV and we'll be in touch.

Current opportunities

We are seeking a Principal or Senior Computational Biologist(s) to join the Population Analysis Team!

This team is focused on projects across two core domains: Genetic Diversity and Gene Function. Our work in the Genetic Diversity space aims to increase the inclusion of under-represented communities in genomic research, handling data generated through new sequencing projects as well as the aggregation of public resources to create a novel resource of genetic variation that reflects the remarkable population diversity of Australia. Meanwhile, the Gene Function domain focuses on using naturally occurring genetic variation, including that uncovered by the Genetic Diversity efforts, to better understand the function of human genes.

The Principal Computational Biologist will plan, direct and execute all aspects of design and analysis of large scientific projects within our core domains, with the potential to lead a team of researchers and computational biologists. They would also be experienced at developing effective project strategies across large-scale collaborations, with appropriately calibrated goals, mitigated risks, and clear priorities.

The Senior Computational Biologist would be involved in core aspects of project delivery across both these domains, including either leading or contributing to the development of cloud-based analysis pipelines, analysing diverse genomic datasets to produce core data resources, leading the development of user-facing products to maximise accessibility of these resources, and leading novel research projects that leverage these resources to impact the prevention, diagnosis and treatment of disease.

Find out more in the role description here or contact us at careers@populationgenomics.org.au. Remuneration and level is based on experience, either academic or in industry.

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.

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.