(Level B) $107,276 to $126,894 per annum plus an employer contribution of 17% superannuation applies.
Fixed term, full time position available for 24 months.
Develop AI-driven digital tissue models for precision oncology, harnessing a multidisciplinary approach to tailor immunotherapy across diverse demographic profiles.
The South Australian Immunogenomics Cancer Institute (SAiGENCI) is embarking on a ground-breaking project to create a digital tissue AI model for precision oncology. This role offers an exciting opportunity to be part of a multidisciplinary team that combines expertise in AI, bioinformatics, clinical oncology, and cancer immunology. As a key team member, you will contribute to advancing our understanding and implementation of immunotherapy tailored to demographic specificities such as age and sex. The role involves the development and refinement of AI-driven tissue models (e.g. large-language models) and the analysis of extensive single-cell data across a wide demographic spectrum.
This position will allow you to explore and develop new methodologies that integrate detailed cellular and molecular data to enhance the precision of established therapies and uncover new treatment avenues. We are looking for experienced individuals who are passionate about using their skills to make a tangible impact in medical research. You will be part of a team that values collaboration, innovation, and the pursuit of excellence. If you are driven to be at the cutting edge of technology and healthcare, we would like to hear from you.
Key responsibilities: Develop and apply advanced AI large-language models to analyse large-scale single-cell datasets; Contribute to the expansion and refinement of our large-scale single-cell database; and collaborate with a multidisciplinary team to advance the field of precision oncology.
To be successful you will need:
Explicitly address each selection criteria below
PhD in Computational Biology, Bioinformatics, Computer Science, or a closely related field with a strong focus on machine learning and deep learning applications.
Demonstrable experience in developing and implementing deep learning tools, particularly in the context of large-language models.
Proficiency in programming languages commonly used in computational biology and data science, such as Python and R, with the ability to handle complex data analysis tasks. Please provide publicly available examples.
A strong record of research, evidenced by publications in peer-reviewed journals or presentations at significant conferences, particularly in areas related to AI, language modelling, computational biology, bioinformatics, or immunogenomics.
Enjoy an outstanding career environment
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life.
We offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Applications close 11:55pm, 18 July 2024.
For further information
For a confidential discussion regarding this position, contact:
Stefano Mangiola Group Leader - SAiGENCI E: stefano.mangiola@adelaide.edu.au
