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

UNSW; Sheffield (TX); Vor Ort; USD 75.000 - 92.000; Vollzeit

Benefits dieser Stelle

17% Superannuation contributions

Annual leave loading

10 days cultural leave per year

Additional leave over Christmas

Zusammenfassung

The Post-Doctoral Fellow (Data) contributes to high-quality research within UNSW’s Centre for Healthy Brain Ageing (CHeBA), focusing on neuroepidemiology, dementia and cognitive ageing, and provides advanced statistical and analytical expertise to epidemiological studies.

Working with multidisciplinary researchers and international collaborators, the role undertakes complex analyses, data preparation, harmonisation and interpretation to support publications, grant applications and the

Qualifikationen

• PhD in Biostatistics, Data Science, Psychology or a related discipline with epidemiology/medical‑health research experience.
• Strong track record of statistical methods and writing scientific papers.

Aufgaben

• Perform complex statistical analyses on epidemiological data.
• Prepare and harmonise data across cohorts and datasets.
• Contribute to study design, publications, conferences and grant applications.

Kenntnisse

Statistical analysis

R

STATA

SAS

SPSS

Data harmonisation

Ausbildung

PhD in Biostatistics/Data Science/Psychology or related

Tools

R

STATA

SAS

SPSS

Jobbeschreibung

• 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.