Senior Research Fellow (Data Manager) at Te Herenga Waka—Victoria University of Wellington

Wellington, Wellington, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Large Datasets, Māori Data Governance, Data Linking, Quantitative Data Management, Stata, REDCap, Data Integrity, Research Delivery, Time Management, Collaboration

Industry

Higher Education

Description

Are you experienced with data management, particularly with large datasets? Have you got an understanding of Māori data governance and sovereignty principles? Do you have a PhD in epidemiology, biostatistics, public health, or another relevant field? Kōrero mō te tūranga - About the role Te Herenga Waka - Victoria University of Wellington is currently recruiting a Senior Research Fellow (Data Manager) to join Te Tātai Hauora o Hine - National Centre for Women’s Health Research Aotearoa on a 22-month fixed-term, part-time contract. The Senior Research Fellow (Data Manager) will support the delivery of an ongoing large, high-impact platform of kaupapa Māori health research, involving managing quantitative data in relation to specific research projects. Key responsibilities: Be responsible for managing large data sets and data-linking with national data sets. Lead quantitative data management to establish and maintain best-practice processes. Perform relevant analysis using a variety of programmes including, but not limited to, Stata, REDcap. Support the implementation and maintenance of Māori data governance and sovereignty principles and other data-related initiatives to ensure culturally appropriate and responsible data handling. Contribute to, and support the Centre's vision, mission, and strategic goals. Ō pūmanawa - About you You will be a motivated individual with the relevant skills who can take the initiative, have excellent time management and can work independently but also collaborate as a team member. Key requirements: A PhD in a relevant field (e.g. epidemiology, biostatistics, public health). Experience with data management and large datasets that require significant skill and independence. Understanding of Māori data governance and sovereignty principles. Excellent attention to detail and an understanding of importance of quantitative data integrity, demonstrated by experience delivering high quality research. Role Description: Click here to see further information, including salary details. If this link is not available, click 'apply' to view this on the University careers page. Close date for vacancy: 27 February 2026. Contact details for vacancy: If you have any questions regarding this role please get in touch with Director Professor Bev Lawton (bev.lawton@vuw.ac.nz). How to apply: Please ensure you are applying for this role directly on our careers page and not via email. Candidates must submit supporting documents along with their resume, such as a cover letter. Applicants who do not have residency or citizenship and require a visa to work at the University must clearly indicate their visa status in their application and understand that if they do not have a current, relevant visa, they will need to secure this independently. Mō Te Herenga Waka - About Our University Te Herenga Waka - Victoria University of Wellington is renowned for its high-quality research and exceptional teaching. We attract people from around the world. Our university campus spans Te Whanganui-a-Tara Wellington - the creative, scientific and political centre of Aotearoa New Zealand - and our students thrive on the connections we have made here. Explore the many benefits of working at Te Herenga Waka - Victoria University of Wellington. Find out where you fit in our strategic direction and learn more about our research expertise. Ētahi kōrero hai āwhina i a koe - Why you should join our team Explore the forefront of women’s health at Te Tātai Hauora o Hine - Centre for Women’s Health Research Aotearoa. Join experts dedicated to eliminating preventable harm and reducing health disparities. Engage in impactful research that shapes policy and resonates with communities. Your work in maternal, neonatal, and reproductive health will pave the way for a healthier future for all women and children.

Responsibilities

The role involves managing large quantitative datasets, including data-linking with national sets, and leading best-practice processes for quantitative data management. Responsibilities also include supporting the implementation of Māori data governance and sovereignty principles within health research projects.