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

UNSW; Canberra; On-site; AUD 107,000 - 130,000; Full time

Benefits offered by this job

17% Superannuation

Annual leave loading

Leave loading over Christmas

Discounts and entitlements

Job summary

UNSW’s Centre for Healthy Brain Ageing (CHeBA) invites applications for a Post-Doctoral Fellow (Data) to advance epidemiological research on dementia and cognitive ageing. The role provides expert statistical support, data preparation, harmonisation and interpretation across international consortia and longitudinal datasets.

Working with multidisciplinary teams, you will contribute to study design, scholarly publications, conference presentations and grant applications, strengthening analytical

Qualifications

• PhD in Biostatistics, Data Science, Psychology or related field.
• Proven epidemiology or medical data analysis experience.
• Strong skills in R, STATA, SAS, SPSS and data harmonisation.
• Excellent written communication and ability to publish.

Responsibilities

• Perform advanced statistical analyses and data preparation.
• Harmonise complex research datasets for analyses and collaborations.
• Contribute to study design, publications, conferences and grants.
• Collaborate with multidisciplinary teams and international partners.

Skills

Statistics

Data harmonisation

Epidemiology

Communication & writing

Education

PhD in Biostatistics or Data Science

Tools

R

STATA

SAS

SPSS

Job description

• 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
• Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.

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

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.

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.