Assistant Research Fellow - Statistical Modelling and Econometrics at University of Otago

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Full Time

Start Date

Immediate

Expiry Date

16 Apr, 26

Salary

65210.0

Posted On

16 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Modelling, Econometrics, Statistical Software, Regression Analysis, Data Science, Programming Skills, Workplace Equity, HR Data Analysis, Māori Data Sovereignty, Pacific Data Sovereignty

Industry

Research Services

Description

__________ DIVISIONS OF SCIENCES | TE ROHE A AHIKĀROA OTAGO BUSINESS SCHOOL | TE KURA PAKIHI INTER-DEPARTMENTAL COLLABORATIVE PROJECT Ceilings, firewalls, cliffs, escalators, labyrinths, and floors: Identifying, quantifying, and correcting causes and consequences of ethnicity and gender pay gaps at Otago The role | Te mahi The successful applicant will work with Professors Lincoln Wood and Christina Hulbe, staff in the University’s Strategy Analytics and Reporting and Equity Offices, and an enthusiastic project steering group. We seek a motivated researcher with a background in statistical modelling and econometrics, and an interest in workplace equity and concrete actions to drive meaningful change. This research project aims to build a comprehensive understanding of ethnicity and gender pay gaps and their development over time, using HR data from a large New Zealand employer (ours), so that appropriate remedies can be identified and implemented. The project is endorsed by senior leaders in the University’s Human Resources Division, the Pay Gaps Steering Group, and Equity Advisory Committee and supported by an award from the Otago Foundation Trust. Skills And Experience | Kā Pūkeka Me Kā Wheako Candidates for this position should: • Hold a postgraduate qualification in applied statistics, economics, data science or a closely related quantitative field. • Have experience using statistical software (R, Python, SPSS, Stata), regression analysis, and statistical modelling are required. Preference will be given to: • Recent graduates or PhD candidates seeking research experience. • Candidates who have experience with employment data and familiarity with Māori and Pacific data sovereignty principles. • Candidates with programming skills in R, Python or similar languages. Familiarity with Aoteaora New Zealand employment context is not required but will be helpful. Further details | Pūroko This position is full time (1FTE), one-year fixed term position, based in Ōtepoti, Dunedin It is possible to arrange job-sharing between two candidates to accommodate ongoing study or other obligations. The salary for this role is $65,210 per annum. You must have the right to live and work in New Zealand to apply for this role. For further information or to discuss the role in confidence, please contact either Prof. Christina Hulbe or Prof. Lincoln Wood via the details below. Application | Tono Candidates are requested to submit the following: • CV • Cover letter • Names and email addresses of at least three referees To submit your application, click the apply button. Applications quoting reference number 2600126 will close on Thursday, 29 January 2026. Applications may be reviewed as they are received. The university reserves the right to close this vacancy at any time. Additional Information Contact: Prof. Christina Hulbe or Prof. Lincoln Wood Position details: Information Statement Guidelines for Academic Positions: Guidelines Further Information: Department Website Create an email with a link to this vacancy: Create email Location: About Dunedin

Responsibilities

The successful applicant will work on identifying, quantifying, and correcting causes and consequences of ethnicity and gender pay gaps. The project aims to build a comprehensive understanding of these pay gaps using HR data from a large New Zealand employer.