Lecturer (Education Focussed)- Centre for Big Data Research in Health
Job no: 537398
Work type: Part Time
Location: Sydney, NSW
Categories: Lecturer
- Employment Type: Part Time; 17.5 hours per week; 2 X Positions available
- Duration: 18 months fixed term
- Remuneration: Academic Level B ($127 K - $150K pro rata) - based on experience + 17% Super
- Location: Kensington, Sydney.
- Visa sponsorship is not available for this position. Candidates must hold unrestricted work rights to be considered for this position.
About UNSW:
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.
Why Your Role Matters:
The Lecturer (Education Focussed) plays a key role in delivering high-quality teaching and advancing educational excellence within the UNSW Centre for Big Data Research in Health (CBDRH) and the Faculty of Medicine and Health. Appointed under UNSW’s prestigious Education Focussed specialisation, this role is dedicated to teaching, curriculum design and innovation that enhances the student learning experience.
Two part-time (0.5 FTE) positions are available within the Master of Science in Health Data Science program. One role has a primary focus on biostatistics and epidemiology, and the other on data science, including programming and machine learning. Both positions contribute to core and elective coursework, collaborate on interdisciplinary curriculum design, and support student learning and employability outcomes.
Reporting to the Director of Teaching, CBDRH, the Lecturer (EF) has responsibility for course delivery, assessment, course coordination and academic quality assurance, with no direct reports.
Skills and Experience
- A PhD in biostatistics, epidemiology, health data science, statistics, data science, computer science (with a health focus), or a closely related quantitative discipline, and/or equivalent relevant professional experience.
- Commitment to proactive maintenance of discipline knowledge and professional development.
- Demonstrated experience in teaching and learning design, development and delivery at postgraduate level in a field related to health data science.
- Experience using and/or designing with educational technologies and online delivery methods.
- Evidence of teaching effectiveness and passion for educational excellence.
- Evidence of highly developed interpersonal and organisational skills.
- Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.
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
How to Apply:
Make each day matter with a meaningful career at UNSW. Submit your application including your resume & cover letter online before Sunday 15th February 2026 at 11:55pm. A copy of the Position Description(s) can be found on JOBS@UNSW.
To be considered for this role, your application must include a document addressing the Selection Criteria which are outlined in the “Skills and Experience” section of the position description(s). Applications that do not address these criteria will not be considered.
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.
Get in Touch:
Aarti
Talent Acquisition Associate
Please apply through the application portal and not via the contact above.
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.
Advertised: AUS Eastern Daylight Time
Application close: AUS Eastern Daylight Time
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