Post-Doctoral Fellow- Centre for Healthy Brain Ageing (CHeBA)

Montréal, QC
On-site
Posted Nov 3, 2026
1 position

A$118,467 / year

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Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Master’s degree
Posting language: English
Working hours: 35 hours per week
Seniority: Internship

Job summary

Conduct complex statistical analyses and prepare, harmonise, and interpret data for epidemiological research on dementia, cognitive ageing, and brain health. Contribute to research design, publications, conference presentations, grant applications, and the development of statistical methods in collaboration with multidisciplinary and international research teams.

Job details

This Job is based in Australia Employment Type: Full Time; 35 hours per week. Part-time arrangements may be considered for suitably qualified candidates, with a minimum commitment of 0.6 FTE (3 days per week) required. Duration: 1-year fixed term (This position is due to commence in January 2027) Remuneration: Academic Level A6 $ 118,467 per annum + 17% Super + Annual leave loading Location: Kensington, New South Wales Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position. Position Summary The Post-Doctoral Fellow (Data) contributes to high-quality research within the Centre for Healthy Brain Ageing (CHeBA), Discipline of Psychiatry & Mental Health at UNSW, with a focus on neuroepidemiology, dementia and cognitive ageing. The role provides advanced statistical and analytical expertise to support epidemiological research across international research consortia, longitudinal studies, administrative datasets and collaborative research projects. Working closely with multidisciplinary researchers and international collaborators, the position undertakes complex statistical analyses, data preparation, harmonisation and interpretation to support high-quality research outcomes. The role contributes to research design, scholarly publications, conference presentations, grant applications and the ongoing development of statistical methodologies and research capabilities within CHeBA. The successful candidate will demonstrate strong statistical and analytical skills, experience working with complex research datasets and the ability to contribute both independently and collaboratively to multidisciplinary research projects. The position offers opportunities to develop advanced research expertise, strengthen international research partnerships and contribute to impactful research that advances understanding of dementia, cognitive ageing and brain health. The position reports to the Associate Professor and has no direct reports. Some Key Skills Required A PhD in Biostatistics, Data Science, Psychology, or a related discipline, with demonstrated relevant work experience in epidemiology, medical and health research or a related field. An excellent academic track record with demonstrated and proven experience in the use of statistical packages such as R, STATA, SAS, SPSS in performing statistical procedures commonly used in the analysis of epidemiological or medical data such as imputation of missing data, data harmonisation, linear mixed modelling, structural equation modelling, or twin data analysis. Strong analytical and problem-solving skills together with excellent writing skills with demonstrated experience in writing high-quality scientific papers and technical reports. Proven commitment to proactively keeping up to date with discipline knowledge and developments. Please refer to the position description for full details. Benefits And Culture UNSW offer a competitive salary and access to a plethora of UNSW-perks including: Career development opportunities 17% Superannuation contributions and additional leave loading payments 10 days paid cultural leave per year Additional 3 days of leave over Christmas period Discounts and entitlements (retail, education, fitness) More information on the great staff benefits and culture can be found here How To Apply Submit your application including your resume & selection criteria online before Sunday 15th November at 11:55pm. 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. Get In Touch Aarti a.aarti@unsw.edu.au Talent Acquisition Associate Please apply through the application portal and not via the contact above. 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.

What you’ll do

Requirements

A PhD in Biostatistics, Data Science, Psychology, or a related discipline, with relevant experience in epidemiology, medical and health research, or a related field. Candidates should have a strong academic record, experience using statistical software and methods for epidemiological or medical data, and demonstrated analytical, problem-solving, and scientific writing skills.