• Data Science Collaborative Research Platform

• This is a part-time (0.6 FTE) fixed-term position through to March 2027 with FTE salary in the range $83,776 - $93,121 (HEW 5), plus a generous super allowance of up to 17%.

• Empower the research community by combining technical data science expertise with the delivery of impactful training programs and workshops across the data life cycle.

• Leverage your R or Python proficiency to support diverse research studies, troubleshoot source code, and maintain critical digital applications in a collaborative, methodical environment.

• Based at our picturesque and conveniently located St Lucia campus.

About This Opportunity 

The Research Assistant and Training Coordinator serves as a vital bridge between technical data science expertise and academic capability building. Within the Data Science Collaborative Research Platform, you will provide end-to-end support across the research data life cycle empowering the research community to harness data with confidence and precision.

Key responsibilities will include: 

Training Coordination and Development

• Facilitate the end-to-end delivery of training programs and workshops. You will develop curriculum materials and instruct researchers on best-practice data science applications to enhance institutional data literacy.

Technical Research Assistance

• Support the design and execution of research studies and experiments. You will apply subject matter expertise across the research data lifecycle, ensuring methodologies are robust and aligned with project goals.

Systems and Code Management

• Act as the technical lead for research tools by developing and maintaining websites or applications. This includes troubleshooting source code (R or Python) and resolving complex issues within analytics or web environments.

Documentation and Reporting

• Conduct comprehensive literature reviews and draft high-quality research documentation. You will translate complex data into clear reports, graphs, and presentations to communicate outcomes at various stages of the research cycle.

About You  

• Degree in Data Science, Computer Science, or a related field (or equivalent experience). This is backed by a strong proficiency in R or Python and a practical understanding of technical research methodologies.

• Demonstrated ability to develop and deliver technical training or workshops. You can translate complex data science concepts into accessible learning opportunities for researchers with varying levels of expertise.

• Methodical approach to troubleshooting source code and maintaining digital applications. You possess the technical agility to work independently on routine procedures while ensuring data integrity.

• Exceptional interpersonal and written communication skills. You are a self-motivated team player who can collaborate effectively with senior staff and academic stakeholders to drive research outcomes.

You must maintain unrestricted work rights in Australia for the duration of this appointment, and may be required to complete background checks including, criminal history and education checks. Employer sponsored work rights are not available for this appointment.

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: 

• 26 weeks paid parental leave or 14 weeks paid primary caregiver 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.

• Cheap parking, On campus childcare and Salary packaging options.

Want to Apply? 

All applicants must upload the following documents in order for your application to be considered:

• Cover letter addressing the ‘About You’ section  

• Resume 

For more information about this opportunity, please contact Dr Dom Gorse at [email protected]. For application queries, please contact [email protected] stating the job reference number (below) in the subject line. 

Applications close 9 Feb 2026 at 11.00pm AEST (Job Reference Number - R-60266). Please note that interviews have been tentatively scheduled for 16 Feb 2026.

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. 

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, particularly from Australia’s First Nations Peoples. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact [email protected].

If you are a current employee (including casual staff and HDR scholars) or hold an unpaid/affiliate appointment, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.