Postdoctoral Fellow: Cancer Systems Biology & Modelling

Adelaide University; Adelaide; On-site; AUD 104,000 - 111,000; Full time

Job summary

Adelaide University’s SAiGENCI invites applications for a Postdoctoral Research Fellow in computational and systems biology to lead the mechanistic modelling stream of a cancer research program focused on adaptive resistance to targeted therapy. You will develop and calibrate models linking time-resolved signalling, drug exposure, and tumour dynamics.

The role sits at the Integrative Network Modelling Group within the Computational Systems Oncology program, offering collaboration with clinicians

Qualifications

• PhD awarded or submitted in a relevant field.
• Expertise in developing and applying ODE-based intracellular signalling models.
• Experience with agent-based or logic-based approaches is advantageous.
• Ability to translate biological questions into practical computational frameworks.
• Proven ability to translate complex outputs into biological/clinical insights.

Responsibilities

• Lead the mechanistic modelling stream of the research program.
• Develop and calibrate mechanism models linking time-resolved signalling to PK/PD and tumour dynamics.
• Apply machine learning to pharmacogenomic datasets for predictive biomarker panels.
• Collaborate with biologists and clinicians to design model-informed experiments.
• Mentor quantitative researchers to deepen biological and translational expertise.

Skills

Applied mathematics

Systems biology

Computational modelling

Data analysis

Biological data interpretation

Education

PhD in Computational Biology / Systems Biology / Quantitative discipline

Job description

Adelaide University’s SAiGENCI invites applications for a Postdoctoral Research Fellow in computational and systems biology to lead the mechanistic modelling stream of a cancer research program focused on adaptive resistance to targeted therapy. You will develop and calibrate models linking time-resolved signalling, drug exposure, and tumour dynamics.

The role sits at the Integrative Network Modelling Group within the Computational Systems Oncology program, offering collaboration with clinicians