- Great opportunity for early career statisticians
- Opportunities to work with both academics and industry
- Become part of the growing data analytics programme
About the role - Ngā kōrero mō te tūranga
In 2025, the University of Waikato is launching Te Ara Tatauranga – The Statistical Consulting Group, a new initiative to support research and external partnerships through expert statistical advice. This role offers an exciting opportunity to contribute at the forefront of academic research and applied data analytics.
As a Statistical Consultant, you will work closely with postgraduate students, academic researchers, and external partners to deliver high-quality statistical insights and advice, often as part of funded projects. Alongside consulting, you will lecture in the University’s data analytics programme at both undergraduate and postgraduate levels.
This role is ideal for a statistical professional with a passion for research impact, client collaboration, and teaching excellence.
Salary will be in the range of $90,125 to $107,452 per year pro rata, depending on the skills, knowledge and experience you bring to the role. This is a full-time position (37.5 hours per week), offered fixed term for two-years as the position is funded by external research grants. The role will be based at our Hillcrest Campus in Hamilton.
For more information on the role please see the position description. For a confidential conversation about the role, please contact Dr Han Gan, Senior Lecturer, [email protected]. All applications must be submitted through the online portal, emailed applications will not be accepted.
Who are you? - Ko wai koe?
You will hold a Master’s degree or PhD in Applied Statistics or a closely related field, and bring experience in teaching data analytics or statistics at tertiary level. You’ll have strong statistical knowledge, effective programming skills across statistical packages, and a clear, confident approach to communicating complex ideas to diverse audiences.
We’re looking for someone who is proactive, collaborative, and committed to supporting both academic and applied research. Preference may be given to candidates with a PhD and experience in cross-disciplinary research or biostatistics.
Who are we? - Ko wai mātou?
This position will join the Data Analytics programme which is part of Au Reikura – The School of Computing and Mathematical Sciences at the University of Waikato. Au Reikura comprises of a number of Academic Programmes including, Mathematics, Statistics/Data Analytics, Computer Science, and Design. The School offers a range of qualifications at undergraduate, post-graduate and professional training levels.
At the University of Waikato, you’ll be part of a vibrant academic community with access to state-of-the-art facilities. We are committed to driving innovation and making a global impact through cutting-edge research and education. The University is also committed to Te Tiriti o Waitangi and understanding how research can enhance professional practice and benefit the community.
Why should you apply for this position? - He aha ngā take me tono mai ai koe?
We want you to be part of our success! Our University stands proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths. Working with us means you’ll enjoy a satisfying work environment with many benefits.
The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. Applicants must have the legal right to live and work in NZ in accordance with the NZ Immigration regulations which can be found here.
Ko te Tangata – For the People
The University of Waikato prides itself on the quality of its engagement with the communities that it serves, the provision of a world-class education and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all.
E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa.
Applications Close on Tuesday 5th August 2025
Requisition number: 1002843
