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- 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 health data science.
- Qualifications: PhD or relevant experience in health data science or related fields.
- Other info: Flexible work options and commitment to diversity and inclusion.
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.
Education-Focused Lecturer, Health Data Science (0.5 FTE) in Manchester employer: UNSW
Contact Detail:
UNSW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Education-Focused Lecturer, Health Data Science (0.5 FTE) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at UNSW through LinkedIn or professional groups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by researching UNSW’s values and recent projects. Show us that you’re not just another candidate, but someone who genuinely aligns with our mission and can contribute to our community.
✨Tip Number 3
Practice your teaching demo! Since this role is education-focused, we want to see how you engage students. Make it interactive and showcase your passion for health data science.
✨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 us you’re serious about joining the UNSW family.
We think you need these skills to ace Education-Focused Lecturer, Health Data Science (0.5 FTE) in Manchester
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure your cover letter speaks directly to the role and highlights your relevant experience. We want to see how your background aligns with the specific needs of the Education-Focused Lecturer position, so don’t hold back on showcasing your passion for teaching and health data science!
Address the Selection Criteria: This is super important! Your application must include a document addressing the Selection Criteria outlined in the job description. We can’t stress this enough – applications that skip this step won’t be considered, so take the time to demonstrate how you meet each criterion.
Showcase Your Teaching Experience: We’re looking for evidence of your teaching effectiveness and commitment to educational excellence. Include examples of your teaching methods, curriculum design, and any innovative approaches you’ve used to engage students. This is your chance to shine!
Apply Through Our Website: Don’t forget to submit your application through our official portal! It’s the best way to ensure your application gets to us without any hiccups. Plus, it shows you’re serious about joining our amazing community at UNSW.
How to prepare for a job interview at UNSW
✨Know Your Stuff
Make sure you’re well-versed in health data science, biostatistics, and epidemiology. 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 delivering high-quality teaching.
✨Tailor Your Application
When preparing your application, ensure that you address the selection criteria outlined in the job description. Highlight your teaching experience, curriculum design skills, and any innovative approaches you've used in the classroom. This will demonstrate that you understand what UNSW is looking for.
✨Showcase Your Teaching Effectiveness
Be ready to discuss specific examples of your teaching effectiveness during the interview. Prepare anecdotes that illustrate how you've inspired students from diverse backgrounds and supported their learning outcomes. This will help you stand out as a candidate who truly cares about student success.
✨Engage with UNSW’s Values
Familiarise yourself with UNSW’s aims, objectives, and values. During the interview, express how your personal values align with theirs, especially regarding equity, diversity, and inclusion. This will show that you’re not just a fit for the role, but also for the university culture.
