Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
A leading educational institution is seeking Adjunct Lecturers with expertise in Health Economics, Management, and Policy. The role involves teaching healthcare data analytics, requiring a strong academic background and effective lecturing skills. Candidates must address selection criteria for assessment.
We are currently inviting applications for Adjunct Lecturers with a distinguished track record of effective teaching and rich experience in the realm of Health Economics, Management, and Policy.
Duties and Responsibilities:
Your primary role will involve teaching and tutoring in one or more of the following courses:
1. Healthcare data analytics (Part-time Program)
Healthcare data analytics is the application of data analytics and statistics techniques to healthcare data. Students learn how to apply core concepts of data analytics to healthcare examples, and about the implications for the purposes of policy evaluation, design, development and implementation in healthcare. This course is designed to provide an understanding of the management, analysis and interpretation of diverse healthcare data. Students will be exposed to a broad range of topics, including an in-depth exposure to fundamental analytic and biostatistical concepts; a range of different methodologies used to collect data; a variety of techniques to appropriately analyse data; and information on how to assess the results of such analysis.
Selection Criteria
For a more comprehensive understanding of the courses, prospective applicants are encouraged to visit The University of Newcastle website through the following links:
https://handbook.newcastle.edu.au/course/2025/GSBS6386
Kindly note that your application will be assessed based on the selection criteria. It is essential that you address each criterion to enable the selection committee to properly assess your application and suitability.
Only shortlisted candidates will be notified.