Research Technologist - Fixed Term at University of Auckland

Auckland, Auckland, New Zealand -

Full Time

Start Date

Immediate

Expiry Date

13 May, 26

Salary

90700.0

Posted On

12 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Health Data Science, Data Management, Statistical Programming, Data Documentation, Data Analysis, Communication Skills, Attention to Detail, Big Data Handling

Industry

Higher Education

Description

Company Description Waipapa Taumata Rau | The University of Auckland The University of Auckland is Aotearoa New Zealand’s leading university. With more than 6,000 academic and professional staff supporting over 46,000 students, we are proud to be one of the country’s largest and most diverse employers. Our people are driven by curiosity, purpose, and a shared commitment to creating positive impact for our communities. Job Description Te Whiwhinga mahi | The opportunity An opportunity has arisen for a Research Technologist – Health Data Science to support researchers, students, and stakeholders in accessing and applying specialised health data methodologies. In this role, you will contribute your technical expertise to the University’s Health Data Platform by assisting with the management of secure health data, supporting approved research projects, and ensuring all processes align with privacy, ethical, and data sovereignty requirements. For more information on the Health Data Platform, please visit this link - https://www.healthdata.auckland.ac.nz/ You will play a key part in the operational planning and management of the Platform’s specialist facilities, providing user induction, technical support, and maintaining standard operating procedures. A significant focus of the role is overseeing the safe and secure transfer, preparation, and integration of large health datasets, including data linkage, cohort development, documentation of data provenance, and investigation of anomalies for quality control. This includes maintaining clear data documentation (data dictionaries and cohort specifications), using reproducible workflows and version control where appropriate. Working closely with academic, clinical, and technical colleagues, you will help develop derived variables, support analytical design, and contribute to the safe and accurate use of routinely collected health data. You will also ensure that all data handling and documentation supports safe practice and complies with the University’s health, safety, and data management standards. This is a part-time (15 hours per week), fixed term for 24 months. The salary range for this role is $73,400 - $90,700 per annum pro-rated, depending on experience and qualifications. For more information, please view the position description. Mō tō mātou rōpū | About the team You will join a collaborative and supportive team within the Department of Medicine. The Health Data Platform brings together a diverse group of research and technical experts focused on enabling impactful health research while upholding the highest standards of privacy, data ethics, and data sovereignty. The team values open communication, innovation, and shared learning. You’ll be supported by colleagues who are committed to professional excellence, encouraging of development, and passionate about improving health outcomes across Aotearoa. You will receive mentoring in the Platform’s core datasets, secure data processes, and standard cohort/linkage workflows, with opportunities to develop skills in health data curation, documentation, and reproducible analysis. He kōrero mōu | About you You are someone who approaches data with thoughtfulness, accuracy, and a strong sense of responsibility. You enjoy helping others succeed in their research and value the role that high-quality data plays in improving health and wellbeing. You will bring: A postgraduate research qualification in a relevant field, or equivalent experience. Demonstrated experience (1–2 years) in health data science. Strong written and verbal communication skills, including the ability to explain data science concepts in clear, non‑technical language. High attention to detail and a conscientious, self‑motivated approach. The ability to work effectively under changing or urgent demands. Competence in handling/working with big data using at least one statistical programming language. It would be beneficial if you also have: Experience in statistical consulting within medicine or health. Skills in data manipulation and analysis using SAS, R, or Stata. Ngā āhuatanga kei a mātou | What we offer 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. Me pēhea te tuku tono | How to apply Applications must be submitted online by 26 February 2026. Please include your CV and a cover letter outlining how your experience aligns with the role requirements. For a confidential conversation about the position, please contact Katrina Poppe via [email protected] (Please note that applications cannot be accepted via email) #LI-DNI Additional Information Equity The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpuiMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz Campus: Grafton Campus Position Number: 60010749 UoA Department Name: Medicine

Responsibilities

The Research Technologist will support researchers and stakeholders in accessing and applying health data methodologies, manage secure health data, and ensure compliance with privacy and ethical standards. The role includes overseeing data transfer, preparation, integration, and maintaining documentation for quality control.