Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

About the role

Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working). The School of Clinical Medicine encompasses all clinical campuses and disciplines, including four main metropolitan campuses (South West Sydney, St George and Sutherland, Randwick, St Vincent's Healthcare) and rural campuses (Port Macquarie, Coffs Harbour, Wagga Wagga, Albury, Griffith). The position is a 2‑year fixed‑term role (possible extension, funding dependent) and requires full work rights in Australia (visa sponsorship not available). This research‑focused position sits within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South‑West Sydney Clinical School, UNSW. The fellow will refine expertise in health services and equity research, contribute to UNSW’s standing as a national leader, and work on statistical analyses of large‑scale administrative datasets examining inequalities in evidence‑based care for cancer. The work involves data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data, alongside a multidisciplinary team of clinicians and staff specialists who provide real‑world insights for interpreting complex data.

Responsibilities

• Conduct statistical analyses of large‑scale administrative datasets to examine inequalities in evidence‑based cancer care.
• Perform data linkages of Australian Census and Commonwealth health/socioeconomic datasets with NSW health data.
• Work within a multidisciplinary team alongside clinicians and staff specialists to gain practical insights for data interpretation.
• Develop expertise in health services and equity research, contributing to UNSW’s national leadership in the discipline.
• Apply advanced analytic methods including causal inference and prognostic/risk prediction modelling.
• Manage large linked administrative datasets using statistical software (Stata, R, SAS, Python).

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.
• High‑level statistical and data analysis skills, including causal inference and prognostic/risk prediction modelling.
• Demonstrated data management skills and experience handling large linked administrative datasets in Stata, R, SAS, or Python.
• Emerging publication record with high‑impact papers in biostatistics, cancer, health services research, or related fields.
• 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 $133k – $156k base (+17% super, plus leave loading).

Schedule

Full‑time (35 hours per week).