Fixed Term, Part Time Contract (0.4 FTE) for Twelve (12) Months

Do you have an understanding of a wide range of research, analytical and evaluation skills, approaches and methodologies, and an aptitude to apply these to public health research?

If this sounds like you, join our team to help make a difference.

The Role:

The Renal Health Program within the Wellbeing and Preventable Chronic Disease Division has a strong focus on evidence translation, identifying new and innovative strategies to improve service delivery and program evaluation to inform policy. It works in partnership with government and non-government health services locally and at the national level to identify, develop and support innovative strategies to facilitate improved management of chronic and kidney disease, improve the patient journey and strengthen health systems.

The Assistant Biostatistician will work in close collaboration with the Renal multidisciplinary team and will assist in the analysis of administrative and clinical health data. The incumbent will need to be proficient with Stata or R analytical programs. They will be required to provide clear explanations of the analysis methods used, and clear annotated files.

They will contribute to designing analysis plans for publications and further grant applications. The incumbent may also assist PhD students, post docs and other researchers working to combine and analyse data across studies and be involved in data linkage projects.

About you:

As a motivated individual, you will come with strong conceptual, analytical skills, problem solving and a strong work ethic with capacity to work independently.

You also have:

A postgraduate qualification in (Bio)statistics or epidemiology with a record of relevant experience, or an equivalent combination of tertiary qualification and relevant research.
Demonstrated experience in using a wide range of statistical methods used in health research.
Demonstrated proficiency with Microsoft Office products and with using R or Stata.
Ability to provide sound statistical advice in study design, analysis and reporting of research.

Please see a full list of primary responsibilities and selection criteria in the position description.

Why Menzies:

As a national leader in research and education that improves health outcomes for Aboriginal and Torres Strait Islander people and populations across our region, and a leader in global and tropical research into life-threatening illnesses, Menzies School of Health Research continues to translate its research into effective partnerships and programs in communities across Australia and the Asia-Pacific region.

Menzies is committed to providing a culturally inclusive and supportive work environment, and ensuring our workforce is representative of the people with and whom we work. We seek to amplify Aboriginal or Torres Strait Islander voices in all aspects of our work, and we strongly encourage Aboriginal and/or Torres Strait Islander peoples to apply for this position.

The Benefits:

Base Salary $79,589 - $104,787 per annum, pro rata (Total remuneration package including superannuation $100,802 - $129,676 per annum, pro rata).
Generous leave provisions including 6 weeks annual leave.
Salary packaging up to $15,900 per annum and $2,650 meal and entertainment card tax free.
Option to increase Super to 14%.

Menzies is committed to diversity and inclusion in our workplace. Applicants who have support or access requirements, are encouraged to advise this at the time of their applications, to ensure appropriate assistance is provided throughout the recruitment process.

If you have any questions regarding the role, please contact:

Oyelola Adegboye

Senior Biostatistician

Email: oyelola.adegboye@menzies.edu.au

To obtain the Position Description, please visit:

Menzies’ careers website: http://careers.menzies.edu.au or

Phone: 08 8946 8409 or

Email: Human Resources at humanresources@menzies.edu.au

How to Apply:

Please click on the ‘Apply’ button to submit your application.

Applicants are required to provide the following supporting documents: