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Added 10 mins ago
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UNSW

Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

ON, Canada
Durham, ON, Canada

Pay: Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading)
Job type: Full-time
Apply by: Oct 17, 2026
Working hours: 35 hours a week
Posting language: English
Posted: Sep 17, 2026

Apply About employer

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Original job description

This Job is based in Australia

Post-Doctoral Fellow (Biostatistics and Cancer Epidemiology)

Employment Type: Full - time (35 hours a week)
Duration: 2-Year Fixed Term (possible extension, funding dependant)
Remuneration: Academic Level B $133k - $156k base (+17% super, plus leave loading)
Work rights: Visa sponsorship is not available for this position. Candidates must hold full rights to work in Australia to be considered for this position
Location: UNSW South-West Sydney Clinical School, Liverpool Hospital (Hybrid working)

UNSW School of Clinical Medicine

The School of Clinical Medicine encompasses all our clinical campuses and disciplines as well as several other affiliated clinical sites. We have four main metropolitan clinical campuses which include our South West Sydney Campus, St George and Sutherland Campuses, the Randwick Campus and St Vincent's Healthcare Campus. Our Rural Campuses include Port Macquarie, Coffs Harbour, Wagga Wagga, Albury and Griffith.

The Opportunity

This will be in a research-focused position working within the Collaboration for Cancer Outcomes, Research and Evaluation (CCORE), Ingham Institute, South-West Sydney Clinical School, UNSW. They will have the opportunity to refine expertise in health services and equity research and contribute to the University's standing as a national leader in the discipline.

The Post-Doctoral Fellow will have the opportunity to work on statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer. The research will involve data linkages of Australian Census and other Commonwealth health and socioeconomic datasets to NSW health data. This is a unique opportunity to work within a multidisciplinary team alongside clinicians and staff specialists who provide practical, real-world insights and expert guidance to support the interpretation and analysis of complex data.

Associate Professor Mei Ling Yap

Dr Md Mijanur Rahman

Key Skills And Experience Required

A PhD in Biostatistics, Epidemiology, Data Science, or related discipline and/or relevant work experience
Have contributed to competitive grant-funding applications.
An interest in research aimed at reducing health system inequalities and improving cancer outcomes.
High level statistical and data analysis skills in advanced analytic methods including causal inference and prognostic/risk prediction modelling.
It will be essential to have evidence of strong data management skills and experience managing large linked administrative datasets using statistical software including Stata, R or SAS, python.
Have an emerging publication track record with high impact publication(s) within biostatistics, cancer and health services research or another related field.
Ability to engage with a variety of audiences, tailoring communication to suit the relevant audience.

Full details can be found in the position description.

UNSW Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world. Our benefits include:

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.
Discounts and entitlements (retail, education, fitness passport)

How To Apply

Please click on Apply now to apply online. Applications should not be sent to the contact listed below.

In your application, please provide a resume and a separate cover letter addressing the key skills and experience for the role listed in the Position Description. Please also list your research publications relevant to this role.

Pre-Employment Checks

As part of our recruitment process candidates may be required to undergo pre-employment screening, which may include reference checks, qualification verification, right-to-work verification, and criminal history screening where relevant to the role. Compliance with the necessary combination of these checks is a condition of employment at UNSW.

Also note that the successful incumbent will also need to undergo NSW Health pre employment checks in addition to the UNSW checks.

Enquiries

Merita O'Connell, Talent Acquisition Partner

E: [email protected]

Applications close: 30th September 2026, before 11.30pm Sydney time.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Apply About employer

More about this job

Responsibilities

The Post-Doctoral Fellow will conduct statistical analyses of large-scale administrative datasets to examine inequalities in evidence-based cancer care. They will work within a multidisciplinary team to contribute to research aimed at improving cancer outcomes and health system equity.

Requirements

Candidates must hold a PhD in Biostatistics, Epidemiology, Data Science, or a related discipline. Applicants are required to have strong data management skills and experience with advanced analytic methods and statistical software.

Skills

Biostatistics
Cancer Epidemiology
Data Science
Statistical analysis
Causal inference
Risk prediction modelling
Data management
Stata
R
SAS
Python
Health services research
Grant writing
Data linkage
Administrative datasets

Benefits

17% Superannuation
Leave loading
Additional 3 days leave during Christmas holidays
Career development opportunities
Up to 50% discount on UNSW courses
Salary sacrifice
Retail discounts
Fitness passport

Visa sponsorship

Not detected in the job text

Hiring contact

Merita O'Connell

Hiring contact email

[email protected]

Keywords

Biostatistics
Cancer Epidemiology
Data Science
Health Services Research
Administrative Datasets
Data Linkage
Causal Inference
Risk Prediction Modelling
Stata
R
SAS
Python
Grant-funding
Clinical Research
Public Health
Epidemiology
Statistical Software
Health Equity
Academic Research
Multidisciplinary Team

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