Postdoctoral Research Fellow - Data Science

Completion of a PhD in Data Science, Biostatistics, Computer Science, Health Informatics, or a closely related discipline.

Demonstrated experience working with large, complex and longitudinal research datasets, including data cleaning, preprocessing, integration and quality assurance to support high-quality research outcomes.

Proven expertise developing, validating and deploying advanced statistical and machine learning models using Python, R, or similar programming languages in a research environment.

Experience working with melanoma, skin cancer or medical imaging research, including the analysis and management of 2D and 3D imaging datasets.

Strong technical knowledge across the data lifecycle, including research data architecture, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices.

Excellent communication, stakeholder engagement and collaboration skills, with the ability to work effectively across multidisciplinary teams and provide training, mentoring and technical guidance to researchers and staff.

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, and within an environment where interdisciplinary collaborations are encouraged. As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process.

For more information about this opportunity, please contact Caitlin Horsham at c.horsham@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.

When you apply, please ensure you upload a resume , cover letter , and responses to the ‘About You’ section.

Pre-employment checks may include verification of the right to work in Australia, qualifications, criminal history checks and mandatory immunisations. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package, however upfront costs will still be expected to be covered. You can find out more about life in Australia’s Sunshine State here .

We're dedicated to equity, diversity, and inclusion . We recognise that career pathways and opportunities differ and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing talent@uq.edu.au or calling +61 7 3365 2623.