Postdoctoral Research Fellow

Role Summary

We are seeking a highly motivated Postdoctoral Research Fellow to join the Integrative Network Modelling Laboratory within SAiGENCI’s Computational Systems Oncology program. This position is supported by a National Breast Cancer Foundation (NBCF) Investigator Initiated Research Scheme grant focused on developing and validating innovative multi-low-dose (MLD) combination therapies for PI3K-driven breast cancer.

Work that matters

Combination therapies can overcome adaptive resistance but often fail clinically due to toxicity. This project takes a different approach: systematically identifying and validating multi-low-dose regimens that co-target key oncogenic nodes to maintain efficacy while reducing toxicity and resistance. The role will contribute to experiments and analysis that map signalling ‘escape routes’ and generate quantitative datasets to support predictive, generalisable therapy prioritisation.

The Project

• Profile signalling network rewiring after PI3K-pathway inhibition using time-course perturbation experiments in PI3K-altered breast cancer models
• Generate quantitative signalling datasets using approaches such as western blotting and multiplexed assays; contribute to phosphoproteomics-ready sample preparation workflows where required
• Support in vitro validation of prioritised MLD regimens (dose–response, viability/proliferation, migration, apoptosis, colony formation), including longer-term resistance selection experiments where appropriate
• Contribute to in vivo and patient-derived model validation activities through close collaboration with partner groups (e.g., xenograft and organoid teams)
• Work closely with computational modellers to ensure experimental design and readouts inform model calibration and therapy prioritisation