Casual Academic Talent Pool - Medicine - Centre for Big Data Research in Health
- University of New South Wales
- Australia, NSW
- Jul 17, 2026
Job Description:
The Centre for Big Data Research in Health within the Faculty of Medicine & Health is seeking expressions of interest from qualified individuals for casual teaching opportunities in the Master of Science in Health Data Science program.
We encourage Expressions of Interest from new and experienced tutors, demonstrators, markers and lecturers who are excited to be a part of an integrated teaching team.
About the role
Your role is to provide casual teaching support to the course convenors. Your duties may include demonstrating in tutorials, workshops or practical classes, marking, and other miscellaneous course related activities.
You will need:
- A degree in statistics, biostatistics, epidemiology, data science, or a related discipline, and/or relevant work experience.
- Demonstrated strong interpersonal skills and ability to communicate efficiently with students and course convenors
- Proficiency with software applications commonly used in teaching (e.g. Office 365: Word, Excel, Teams, and learning management systems such as Moodle), as well as software packages (R, Python or SAS)
- Commitment to follow the UNSW Code of Conduct which deals with confidentiality, discrimination, health and safety, harassment, etc
- Willingness to complete Workplace Health & Safety training and other relevant training as required by UNSW before commencing work.
Pre-Employment Checks
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.
These pre-employment checks may include a combination of some of the following checks:-
- National and International Criminal history checks
- Entitlement to work and ID checks
- Working With Children Checks
- Completion of a Gender-Based Violence Prevention Declaration
- Verification of relevant qualifications
- Verification of relevant professional membership
- Employment history and reference checks
- Financial responsibility assessments/checks.
- Medical Checks and Assessments
Compliance with the necessary combination of these checks is a condition of employment at UNSW.
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. 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.
#LI-DNI
At UNSW, we take pride in the broad range and high quality of our teaching programs. Our teaching gains strength and currency from our research activities, strong industry links and our international nature; UNSW has strong regional...
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Job Description:
The Centre for Big Data Research in Health within the Faculty of Medicine & Health is seeking expressions of interest from qualified individuals for casual teaching opportunities in the Master of Science in Health Data Science program.
We encourage Expressions of Interest from new and experienced tutors, demonstrators, markers and lecturers who are excited to be a part of an integrated teaching team.
About the role
Your role is to provide casual teaching support to the course convenors. Your duties may include demonstrating in tutorials, workshops or practical classes, marking, and other miscellaneous course related activities.
You will need:
- A degree in statistics, biostatistics, epidemiology, data science, or a related discipline, and/or relevant work experience.
- Demonstrated strong interpersonal skills and ability to communicate efficiently with students and course convenors
- Proficiency with software applications commonly used in teaching (e.g. Office 365: Word, Excel, Teams, and learning management systems such as Moodle), as well as software packages (R, Python or SAS)
- Commitment to follow the UNSW Code of Conduct which deals with confidentiality, discrimination, health and safety, harassment, etc
- Willingness to complete Workplace Health & Safety training and other relevant training as required by UNSW before commencing work.
Pre-Employment Checks
Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.
These pre-employment checks may include a combination of some of the following checks:-
- National and International Criminal history checks
- Entitlement to work and ID checks
- Working With Children Checks
- Completion of a Gender-Based Violence Prevention Declaration
- Verification of relevant qualifications
- Verification of relevant professional membership
- Employment history and reference checks
- Financial responsibility assessments/checks.
- Medical Checks and Assessments
Compliance with the necessary combination of these checks is a condition of employment at UNSW.
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. 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.
#LI-DNI
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