Faculty Opportunity in Cancer Research – Machine Learning in Sydney

Faculty Opportunity in Cancer Research – Machine Learning in Sydney

Sydney Full-Time 82800 - 101200 $ / year (est.) On-site
G

At a Glance

  • Tasks: Join a cutting-edge research team tackling cancer relapse using machine learning and data science.
  • Company: Garvan Institute of Medical Research, a leader in innovative cancer research.
  • Benefits: Generous start-up package, collaborative environment, and opportunities for impactful discovery.
  • Other info: Diverse applicants encouraged; enjoy academic freedom in transformative research.
  • Why this job: Make a real difference in cancer research while pursuing your passion for machine learning.
  • Qualifications: Strong background in computational biology and machine learning tool development.

The predicted salary is between 82800 - 101200 $ per year.

  • 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 All Clear 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.

#J-18808-Ljbffr

Faculty Opportunity in Cancer Research – Machine Learning in Sydney employer: Garvan Institute of Medical Research

The Garvan Institute of Medical Research is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of cancer research. Located in Sydney, NSW, employees benefit from a generous start-up package and opportunities for professional growth through multidisciplinary partnerships and impactful discovery research. The institute values diversity and academic freedom, making it an ideal environment for those passionate about making significant contributions to science and healthcare.

G

Contact Details:

Garvan Institute of Medical Research Recruitment Team

We think you need these skills to ace Faculty Opportunity in Cancer Research – Machine Learning in Sydney

Data Science
Computational Biology
Machine Learning
Representation Learning
Geometric Deep Learning
Independent Research
Creative Thinking