Faculty Opportunity in Cancer Research – Machine Learning

Garvan Institute of Medical Research; Sydney; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Generous start-up package

Academic freedom

Job summary

Garvan Institute of Medical Research in Sydney invites applicants for a faculty-level position to advance cancer research through machine learning and data science.

Candidates will build on existing collaborations, develop innovative ML tools for biology, and contribute to multidisciplinary efforts across Garvan and partner institutions.

A generous start-up package and academic freedom are offered to pursue high-risk, high-reward discovery.

Qualifications

• Strong track record in computational biology and ML tool development.
• Experience applying ML to biological data and publishing results.

Responsibilities

• Lead independent research within Cancer Plasticity and Dormancy Program.
• Develop ML tools and approaches applicable to cancer biology.
• Collaborate with national and international partners on data science projects.

Skills

Computational biology

Machine learning

Job description

Faculty Opportunity in Cancer Research - Machine Learning

Garvan Institute of Medical Research - Sydney NSW

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.