Postdoctoral Fellow — Biostatistics & Neuroepidemiology

UNSW; Adelaide; In loco; AUD 107.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Career development opportunities

17% Superannuation contributions and;+

10 days paid cultural leave per year

Additional 3 days of leave over the 
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Discounts and entitlements (retail,教育,

Descrizione del lavoro

UNSW Sydney, through the Centre for Healthy Brain Ageing (CHeBA), invites applications for a Post-Doctoral Fellow (Data). The role focuses on neuroepidemiology and cognitive ageing, providing advanced statistical support across international datasets and collaborations.

The successful candidate will conduct complex analyses, data preparation, harmonisation and contribute to publications, grant applications and methodological development within CHeBA.

Competenze

• PhD in Biostatistics, Data Science, Psychology, or related discipline with relevant epidemiology/medical data work.
• Proven experience with statistical packages (R, STATA, SAS, SPSS) for epidemiological/medical data analyses (missing data imputation, harmonisation, modeling).
• Strong analytical and writing skills with demonstrated publication history.
• Commitment to staying up-to-date with discipline developments.

Mansioni

• Perform complex statistical analyses and data preparation for research projects.
• Harmonise and interpret datasets across international consortia and longitudinal studies.
• Contribute to research design, scholarly publications, conference presentations, and grant applications.
• Develop statistical methodologies and research capabilities within CHeBA.

Conoscenze

Strong analytical and problem-solving

Excellent writing skills

Proactive continuous learning

Data analysis

Formazione

PhD in Biostatistics, Data Science, Psychology, or related discipline

Strumenti

R

STATA

SAS

SPSS

Descrizione del lavoro

UNSW Sydney, through the Centre for Healthy Brain Ageing (CHeBA), invites applications for a Post-Doctoral Fellow (Data). The role focuses on neuroepidemiology and cognitive ageing, providing advanced statistical support across international datasets and collaborations.

The successful candidate will conduct complex analyses, data preparation, harmonisation and contribute to publications, grant applications and methodological development within CHeBA.