Faculty Opportunity in Cancer Research – Machine Learning

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 Cancer Plasticity and Dormancy Program is a research program established to prevent cancer relapse. Our vision is to discover the fundamental cellular and molecular mechanisms that control cancer cell dormancy, cancer plasticity and cancer relapse. The goal of the program is to generate tools to predict which patients are at risk of relapse, to identify and develop new targets to stop cancer relapse before it occurs, and to accelerate the clinical translation of relapse-preventing therapies. The program has established the international AllClear initiative, supported by the inaugural National Breast Cancer Foundation collaborative research accelerator grant.

The Garvan Institute invites applicants for a Faculty-level position to join the Cancer Plasticity and Dormancy Program. We are seeking individuals to build upon existing research and international partnerships in data science, computational biology and machine learning, including representation learning and geometric deep learning approaches.

We will consider applications from individuals with a strong track record in computational biology and expertise in machine learning tool development. Alongside their independent research program, they will develop approaches that can be applied to solve fundamental biological questions in cancer and immunology.

They will have demonstrated an aptitude for independent, creative thinking and a strong track record of high-quality scientific output, relative to opportunity and career stage. They will contribute to program-specific cancer questions and to multidisciplinary collaborations across Garvan and other national and international institutions.

A generous start-up package will be provided to encourage the pursuit of high risk/high reward research with transformative potential. We welcome local and international applicants who show strong alignment with the Garvan Institute’s vision for impactful discovery research.

We especially welcome applicants from diverse backgrounds and those seeking the academic freedom to pursue discovery research wherever it takes them.