Ko te whare Pūtaiao/The Faculty of Science at the University of Auckland is the leading science faculty in New Zealand and one of the largest in Australasia. It undertakes world-class research across the physical, biological, and computational sciences. More than 8,000 students’ study in our 10 schools and departments, learning from internationally renowned lecturers.  We strive to provide a School that reflects the demographics of our student base and Aotearoa. Our staff and students can connect with our: Rainbow and Women in Science networks, Parenting support, our Waipapa Marae and our flagship Tuākana Māori and Pacific support programme.

The Centre for eResearch (CeR) is a university platform that provides digital research and AI capabilities across Waipapa Taumata Rau, the University of Auckland. Our mission is to develop and apply computer and information technologies to research and then help researchers across the whole University to effectively use them.

We are seeking enthusiastic and reliable people whose skills and interests will complement our multidisciplinary team. The ideal candidate enjoys interacting with researchers, working in a dynamic team environment, and learning new skills. You’ll contribute to and benefit from the team’s broad skill base, and be excited by the opportunity to work across multiple research fields and in various capacities. Since researchers needs are constantly changing, the support we offer is always evolving to keep pace with new opportunities.

We’re looking for a self-motivated person with a broad understanding of a research-led university environment and experience supporting researchers across the university community. You will bring skills and passion from areas such as domain research, data science and analytics, research data management, and researcher development and outreach. Ideally, you will also have experience with research programming languages (e.g., Python, R), digital data and computational skills (e.g., Linux, managing virtual machines), and working with sensitive data.

Key Responsibilities (not limited too):

• A practical understanding of research data management;
• A proactive and collaborative approach to communicating services to researchers effectively across different modes of delivery;
• A reliable and detail-oriented approach to contributing to the organisation, development, and delivery of researcher skills across our programme; and
• A demonstrable desire to work collaboratively to deliver and improve eResearch/digital research and AI services to support researchers

In this role, you will work in partnership with colleagues to proactively engage with the entire research community—research staff, postgraduates, and those who support them—to raise awareness and encourage the use of digital research and AI technologies and tools, including CeR services. You will advocate for and enable researchers to manage their data and code according to best practices, such as reproducibility and the FAIR and CARE data principles, through data consultations and outreach activities. You will undertake engagements at all levels, from one-on-one meetings with individual researchers to large faculty meetings or groups of service providers, to design, deliver, and embed new services.

The role is a full-time, permanent role (37.5 hours per week) with a start date of January 2026

The remuneration is $83,300 – $97,979 per annum, dependent on skills and experience.

For more information about this role, please refer to the Position Description

You’ll bring strong communication skills, a service-focused mindset, and the ability to engage effectively with a diverse academic audience. You’ll have:

• A postgraduate qualification (or equivalent experience) in Science, IT, or a related discipline.
• 2–5 years’ experience working with research data, software development, or eResearch services.
• Demonstrated experience engaging and supporting researchers to adopt digital or computational practices.
• Technical knowledge in one or more areas such as web or cloud development (e.g., Angular, Springboot), research data management, R/R-shiny, Jupyter, GIS, or machine learning.
• Experience delivering training or workshops and an understanding of effective pedagogical approaches for digital skills development.

The University of Auckland is New Zealand’s leading University and maintains significant computational, laboratory, and analytic facilities. Auckland is frequently rated as one of the world’s most liveable cities.

The University is committed to providing an excellent working environment through the following:

· Flexible employment practices (including working from home and flexible hours)

· Up to 6.75% company superannuation scheme

· A competitive salary with five weeks’ annual leave

In addition, we also offer career development programs, discounted car parking, a generous parental leave allowance, childcare, and other discounts on internal and external services.

For more information, please visit Staff Benefits.