Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

About the role

This Post‑Doctoral Fellow position is based at the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South‑West Sydney Clinical School, UNSW, working in a hybrid arrangement at Liverpool Hospital. The fellow will refine expertise in health services and equity research, conduct statistical analyses of large‑scale administrative datasets to examine inequalities in evidence‑based cancer care, and link Australian Census and Commonwealth health/socio‑economic datasets to NSW health data, working alongside clinicians and specialists who provide real‑world insights for interpretation and analysis.

Location: UNSW South‑West Sydney Clinical School, Liverpool Hospital (Hybrid working). Work rights: Visa sponsorship is not available; candidates must hold full rights to work in Australia.

Responsibilities

• Conduct statistical analyses of large‑scale linked administrative datasets using Stata, R, SAS, or Python.
• Perform data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data.
• Investigate inequalities in evidence‑based care for cancer and contribute to health services and equity research.
• Collaborate with a multidisciplinary team of clinicians and staff specialists to interpret complex data and provide expert guidance.
• Support grant‑funding applications and contribute to publications in biostatistics, cancer epidemiology, or health services research.

Requirements

• PhD in Biostatistics, Epidemiology, Data Science, or a related discipline (or equivalent relevant work experience).
• Experience contributing to competitive grant‑funding applications.
• Strong interest in research aimed at reducing health system inequalities and improving cancer outcomes.
• Advanced statistical and data analysis skills, including causal inference and prognostic/risk prediction modelling.
• Proven data management skills and experience managing large linked administrative datasets with statistical software (Stata, R, SAS, Python).
• Emerging publication track record with high‑impact publications in biostatistics, cancer, health services research, or a related field.
• Ability to communicate effectively with diverse audiences, tailoring messages appropriately.

Benefits

• Additional 3 days leave during Christmas holidays.
• Career development opportunities.
• Up to 50% discount on UNSW courses.
• Flexible 17% superannuation contributions, additional leave‑loading payments, and salary sacrifice options.
• Discounts and entitlements (retail, education, fitness passport).

Pay

Academic Level B salary range: $133,000 – $156,000 base per annum, plus 17% superannuation and leave loading.

Schedule

Full‑time, 35 hours per week (hybrid working arrangement).