Researcher (Level B) at University of Adelaide, Adelaide, South Australia

Melbourne Research Fellowships in University of Melbourne, Australia
Researcher (Level B): The South Australian Immunogenomics Cancer Institute (SAiGENCI) at the University of Adelaide is seeking a highly skilled and motivated researcher to develop AI-driven digital tissue models for precision oncology. This fixed-term, full-time position is an exciting opportunity to contribute to ground-breaking research in cancer immunogenomics, focusing on the development and application of AI large-language models to analyze single-cell data.

AI Large-Language Models of Single-Cell Data for Cancer Immunogenomics


Researcher (Level B)

Research Area

Cancer Immunogenomics, AI and Machine Learning, Bioinformatics, Computational Biology


University of Adelaide, Adelaide, South Australia


  • 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.
  • A strong record of research, evidenced by publications in peer-reviewed journals or presentations at significant conferences in relevant areas.

Job Description

  • Key Responsibilities:
    • Develop and apply advanced AI large-language models to analyze large-scale single-cell datasets.
    • Contribute to the expansion and refinement of the large-scale single-cell database.
    • Collaborate with a multidisciplinary team to advance the field of precision oncology.
  • Role Overview:
    • Work within a multidisciplinary team at SAiGENCI to create digital tissue AI models for precision oncology.
    • Contribute to the understanding and implementation of immunotherapy tailored to demographic specificities such as age and sex.
    • Develop new methodologies integrating detailed cellular and molecular data to enhance the precision of established therapies and uncover new treatment avenues.

How to Apply

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit the following documents:

  • Cover letter
  • Resume
  • Document that includes your responses to all the selection criteria for the position as contained in the position description or selection criteria document

Last Date for Application

Applications close at 11:55 PM on 18 July 2024. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.

Further Information

For a confidential discussion regarding this position, contact:

Additional Information

The University of Adelaide offers an outstanding career environment, with a focus on collaboration, innovation, and excellence. Staff benefits include salary packaging, flexible work arrangements, high-quality professional development programs, and access to on-campus health and fitness facilities. The University is committed to diversity and inclusion, and strongly encourages applications from women, people with disabilities, and Aboriginal and Torres Strait Islander people.



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