Postdoctoral Fellow- Centre Healthy Brain Ageing; CHeBA

This Job is based in Australia

• Employment Type:
  
  Full Time, 35 hours per week
• Duration: 12 months fixed term (extension maybe possible pending funding availability)
• Remuneration:
  Research Level A $113K- $121K (based on experience) + 17% super+ annual leave loading
• Location:
  
  Kensington Campus, New South Wales.
• Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. Together, we are driven to be thoughtful, practical, and purposeful in all we do. Taking this combined approach is what makes our work matter. It’s the reason we’re one of the top 20 universities in the world (QS top 20) and a member of Australia’s prestigious Group of Eight.

If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

The Postdoctoral Fellow (Level

A) will contribute to the research program of the Centre for Healthy Brain Ageing (CHeBA), UNSW, within the Discipline of Psychiatry & Mental Health. The role provides advanced statistical expertise to support epidemiological research across CHeBA-led consortia and collaborative projects, with a focus on neuroepidemiology of dementia and cognitive ageing.

The appointee will conduct and coordinate analyses of large-scale international longitudinal and administrative datasets, undertake data harmonisation and preparation, and develop and implement advanced statistical methodologies to enhance research quality and output. The position involves contributing to scholarly publications, presenting findings at conferences, supporting research student supervision, and assisting in the development of grant applications.

• 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.
• Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Evidence of highly developed interpersonal skills.
• Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

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

To be considered for this role, you must address the Selection Criteria which are outlined in the “Skills and Experience” section of the position description. Applications that do not address these criteria will not be considered. For more information, refer to the Position Description available on JOBS@UNSW.

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