Pioneering Faculty in Cancer Research & ML

The Garvan Institute invites applicants for a faculty-level position to advance research on cancer plasticity and dormancy, and to lead data science and machine learning initiatives. The role emphasizes independent, high-impact work, collaboration across national and international partners, and a commitment to discovery in cancer biology and immunology.

Applicants should demonstrate a strong publication record, the ability to secure funding, and a track record in ML tool development.