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Herston Campus, Brisbane

5 Star University

"Research Data Analyst"

Academic Connect
Applications Close

Research Data Analyst

Job Description:

  • School of Public Health
  • Full-time (Part time option at 80%) fixed-term position through to end of 2026.
  • Base salary will be in the range $93,491.78 - $100,296.98 + 17% Superannuation (HEW Level 6)
  • Contribute to a landmark global health study improving menstrual health outcomes for women and girls in Bangladesh and beyond
  • Based at our Herston Campus

About This Opportunity

Join the Australian Women and Girls’ Health Research (AWaGHR) Centre — a multidisciplinary team dedicated to improving the health and wellbeing of women and girls throughout their lives.

We’re seeking a detail-oriented and technically skilled Research Data Analyst to support the Adolescent Menstrual Experiences and Health Cohort (AMEHC) study, a landmark global health project based in Bangladesh aiming to advance understanding of menstrual health in Bangladesh and beyond.

Working within the AWaGHR Centre, you’ll contribute to meaningful, cross culturalresearch that explores how biological, behavioural, and social factors intersect to influence women’s and girls’ health across the life course.

Key responsibilities will include:

  • Support the development, maintenance, monitoring, and documentation of AMEHC study participant records and databases, ensuring data integrity and reproducibility.
  • Contribute to survey preparation, data collection, and quality assurance, preparing clean, analysis-ready datasets in accordance with study protocols and ethics.
  • Develop and maintain dashboards, reports, and visualisations, and help refine coding, automation, and analytical workflows.
  • Collaborate closely with international research partners and field teams to achieve study milestones and timelines, including occasional travel to Bangladesh to support on-the-ground data collection
  • Provide technical and analytical support for manuscripts, presentations, and data-related troubleshooting across the research team.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:

  • Up to 26 weeks paid parental leave/paid primary care leave
  • 17% superannuation contributions + 17.5% annual leave loading
  • Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight
  • Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family
  • Career development opportunities –access to exclusive internal-only vacancies and our Study for Staff program
  • Salary packaging options

About You

  • Completion of an undergraduate degree in health, psychology, social sciences or statistics and data science
  • Proficiency in study data management (through past employment or further study), including data quality checks, cleaning and preparation using Stata
  • Demonstrate understanding of research methodologies and statistical techniques
  • Excellent administrative and organisational skills
  • Excellent interpersonal and communication skills, and commitment to collaborative teamwork

Preferred Experience:

  • Prior experience supporting research projects in a university, government, or non-profit research centre.
  • Experience working in international or cross-cultural contexts, particularly in global health research.
  • Familiarity with menstrual health OR water, sanitation and hygiene OR sexual and reproductive health in global contexts
  • Experience of data management using RedCap and excel

The successful candidate may be required to complete a number of pre-employment checks, including right to work in Australia, criminal check and a working with children check.

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

Questions?

For more information about this opportunity, please contact Associate Professor Julie Henegen at j.hennegan1@uq.edu.au

For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line.

Want to Apply?

We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:

  • Resume
  • A cover letter summarising how your background aligns with the 'About You' section

Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au.

Other Information

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don’t meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

Applications close Wednesday 19th November 2025 at 11.00pm AEST (R-57344).

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