At a Glance
- Tasks: Deliver high-quality teaching and innovate curriculum in health data science.
- Company: Join UNSW, a top 20 global university with a vibrant community.
- Benefits: Competitive salary, 17% superannuation, cultural leave, and discounts.
- Why this job: Make a real impact on students' learning experiences in a dynamic environment.
- Qualifications: PhD in relevant fields and experience in teaching at postgraduate level.
- Other info: Commitment to diversity and inclusion; flexible work options available.
The predicted salary is between 80000 - 90000 ÂŁ per year.
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.
This Job is based in Australia
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.
- 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 a.aarti@unsw.edu.au 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.
Lecturer (Education Focussed)- Centre for Big Data Research in Health employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer (Education Focussed)- Centre for Big Data Research in Health
✨Tip Number 1
Network like a pro! Reach out to current or former staff at UNSW, especially those in the Centre for Big Data Research in Health. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your teaching methods and curriculum design skills. Be ready to share specific examples of how you've enhanced student learning experiences in the past.
✨Tip Number 3
Show your passion for educational excellence! During interviews, highlight your commitment to diversity and inclusion, and how you’ve supported students from various backgrounds.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the UNSW community.
We think you need these skills to ace Lecturer (Education Focussed)- Centre for Big Data Research in Health
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to customise your cover letter for the Lecturer position. Highlight your relevant experience in biostatistics, epidemiology, or data science, and show how your teaching philosophy aligns with UNSW's values.
Address the Selection Criteria: Don’t skip this part! Address each of the selection criteria outlined in the job description. Use specific examples from your past experiences to demonstrate how you meet these requirements.
Show Your Passion for Teaching: Let your enthusiasm for education shine through! Share any innovative teaching methods you've used or how you've engaged students from diverse backgrounds in your previous roles.
Proofread Before Submitting: Before hitting that submit button, give your application a thorough read. Check for typos, grammatical errors, and ensure everything flows nicely. A polished application shows attention to detail!
How to prepare for a job interview at UNSW
✨Know Your Stuff
Make sure you have a solid understanding of biostatistics, epidemiology, and health data science. Brush up on the latest trends and technologies in these fields, as well as any relevant educational methods. This will show your passion for the subject and your commitment to educational excellence.
✨Tailor Your Application
When preparing your application, ensure that you address the specific selection criteria outlined in the job description. Highlight your teaching experience, curriculum design skills, and any use of educational technologies. This will demonstrate that you’re not just a good fit, but the perfect fit for the role.
✨Engage with the Interviewers
During the interview, don’t just answer questions—engage with your interviewers. Ask insightful questions about their teaching philosophy and how they support student diversity and inclusion. This shows that you’re genuinely interested in the role and the institution’s values.
✨Showcase Your Teaching Effectiveness
Be prepared to discuss specific examples of your teaching effectiveness. Share anecdotes or data that illustrate how you've positively impacted student learning outcomes. This will help convey your dedication to advancing educational excellence at UNSW.