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

UNSW; Mumbai; On-site; INR 6,888,000 - 8,418,000; Full time

Benefits offered by this job

Career development

Superannuation

Annual leave loading

Cultural leave

Job summary

UNSW’s Centre for Healthy Brain Ageing (CHeBA) invites applications for a Post-Doctoral Fellow (Data) to lead advanced statistical analyses on neuroepidemiology projects. The role spans international consortia, harmonised datasets and longitudinal studies, contributing to publications and grant applications.

The successful candidate will work with multidisciplinary teams, develop novel statistical methods, and help advance dementia and cognitive ageing research.

Qualifications

• PhD in Biostatistics, Data Science, Psychology or related field with epidemiology experience.
• Proven track record in statistical analyses of health data and missing data imputation.
• Experience with data harmonisation and advanced modelling techniques.

Responsibilities

• Perform complex statistical analyses and data preparation for epidemiological studies.
• Collaborate with international teams on research design, publication drafting and grants.
• Develop and refine statistical methodologies for dementia and cognitive ageing research.

Skills

PhD in Biostatistics/Data Science

Epidemiology expertise

Statistical programming (R/STATA/SAS/

Education

PhD in Biostatistics or related

Tools

R

STATA

SAS

SPSS

Job description

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.

This Job is based in Australia

Position Details

• 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.

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.

Benefits And Culture

• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• 10 days paid cultural leave per yearAdditional 3 days of leave over Christmas period
• Discounts and entitlements (retail, education, fitness)

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.