Lecturer in Statistical Consulting

  • Waikato
  • $87,500 - $104,322 per annum
  • Full time
  • Education & Training
  • Posted 30 days ago

Job Description

Mō tēnei tūranga mahi | About this role

About the role - Ngā kōrero mō te tūranga

In 2025, the University of Waikato is formally creating Te Ara Tatauranga - The Statistical Consulting Group. This full-time role will be to work primarily as a statistical consultant, supporting research within the University for both students and academic staff, and working on external consulting projects. This role will also contribute to undergraduate and postgraduate teaching, primarily through lectures. The initial appointment will be for a three-year fixed-term position with the potential for continuation upon conclusion of the original term depending on the performance of Te Ara Tatauranga.

Salary will be in the range of $87,500 to $104,322 per year based on skills, knowledge and experience brought to the position. This is a full-time role (37.5 hours a week), based at our Hillcrest Campus, Hamilton.

For more information on the role please see the position description here. For a confidential conversation about the role, please contact Dr Han Gan han.gan@waikato.ac.nz. 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 relevant Masters or PhD in Applied Statistics or Biostatistics or any other related field and have demonstrated teaching experience. Preference may be given to candidates who have a PhD and experience in cross-disciplinary research, particularly biostatistics.

Don't meet every single requirement? Studies have shown that some groups of people are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about one of these roles but your past experience doesn't align perfectly, we encourage you to get in touch or to just apply. You may be just the right candidate for this or other roles.

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.

For the People - Ko te Tangata

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 11 March 2025

Requisition number: 1002353