Pioneering Faculty in Cancer Research & ML

The Garvan Institute; Sydney; On-site; AUD 140,000 - 210,000; Full time

Benefits offered by this job

Generous start-up package

Job summary

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.

Qualifications

• Strong track record in computational biology and machine learning tool development.
• Aptitude for independent, creative thinking and high-quality scientific output relative to opportunity.
• Welcomes applicants from diverse backgrounds and supports academic freedom for discovery research.

Responsibilities

• Develop and advance an independent research program in cancer biology, plasticity and dormancy.
• Build and strengthen international collaborations in data science and ML applications to biology.
• Contribute to multidisciplinary projects across Garvan and partner institutions.
• Translate findings toward impact in cancer relapse prevention and immunology research.

Skills

Data science

Computational biology

Machine learning

Representation learning

Geometric deep learning

Education

PhD in computational biology or related field

Tools

Python

TensorFlow

PyTorch

Job description

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.