Casual Academic Talent Pool - Medicine - Centre for Big Data Research in Health
Casual Academic Talent Pool - Medicine - Centre for Big Data Research in Health
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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 theUNSW Code of Conductwhich deals with confidentiality discrimination health and safety harassmentetc
- Willingness to complete Workplace Health & Safety training and other relevant training as required by UNSW before commencing work.
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.
#LIDNI
Employment Type
Gig
